indeed_jobs_mp.csv

Title,Company,Location,Rating,Date,Salary,Description,Links,Descriptions
Jr. Data Scientist,Talentheed Inc,Remote,4.6,PostedPosted 2 days ago,"$56,951 - $119,187 a year","To apply to data sets, create unique data models and algorithms.
Examine the efficacy and precision of new data sources and data collection procedures.",https://www.indeed.com/company/Talentheed-Inc/jobs/Junior-Data-Scientist-01884c56a6d437df?fccid=c74998f9af9be394&vjs=3,"Responsibilities : -
Coordinate with different teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Collaborate with stakeholders throughout the organization to discover ways to use corporate data to create business solutions.
Mine and analyze data from company databases to promote optimization and enhancement of product development, marketing tactics, and business strategies.
Examine the efficacy and precision of new data sources and data collection procedures.
To apply to data sets, create unique data models and algorithms.
Increase and improve customer experiences, revenue creation, ad targeting, and other company results through predictive modeling.
Benefits : -
Pre job Training with Experienced Trainers.
Assignments & Case Studies provided during training.
Mock sessions before interviews.
Multiple interview rounds with different clients.
Training completing certificates.
Job Types: Full-time, Part-time
Pay: $56,951.30 - $119,187.11 per year
Benefits:
401(k)
Dental insurance
Health insurance
Paid time off
Schedule:
4 hour shift
8 hour shift
Work Location: Remote"
Data Scientist,"Shaw Industries Group, Inc.",Remote,3.8,PostedPosted 5 days ago,NaN,Partner with data scientists across the enterprise to help support the operationalization and ongoing maintenance of enterprise data science solutions.,https://www.indeed.com/pagead/clk?mo=r&ad=-6NYlbfkN0CrvEjiI1EGEnRdQcpM6oig2JvaZXiHQsku1pqyTao9qod5Og62w5ho1fxZU1Vsi_CCuoqlnRWdQ-ueZUFVbuXNabifLIlYgkfbWRTi_SF8v9F2nD92es8XMSjxPP_JChY-aZel7WBcSQUHQk8LKhrH0kIZa0xmftP12ROH36PRG08CtfAX4bmmBMXG_OBPJrDAAHY-6ANcOheVWmwzFwN14coCKi8k2HXYKFo_iE4J_543jaOrFnO0_0j0ldmRGIzYENz5RHye39gr7AixXvw-NAu-WNsDJGKhouenzKVRPYBagW4dZYXZaxKGaXavoO_mVR-4qC9WacZzRshoS1aBEntE_nEfre3sKfXmbRcUJmaqjcrPjcLD9jziGcjoAMizSx9eFUcTQiHkj7Qp15pcGwmW7GxlaAqIEbL3iKqXCguajXO1z1qHEswD1AqcGOtTlMai1zGcX-F0wS7GmqUxYdbAcRLPQ_zCMJhhu0Syog==&xkcb=SoA0-_M3WJmDXGWbER0KbzkdCdPP&p=1&fvj=1&vjs=3,"We are looking for a data scientist to join our enterprise analytics team! This individual will partner with various areas of the company to help formulate their business problems into data science exercises and build end-to-end analytics solutions. They will also partner with other data scientists in the company to help support, operationalize, and maintain enterprise data science solutions.
This role will involve heavy collaboration with data engineers, data stewards, product owners and business experts to support projects throughout the entire data science lifecycle. The data scientist’s tasks will include data wrangling, exploratory data analysis, hypothesis testing, modeling, rapid prototyping, business validation/testing, and operational deployment.
Responsibilities:
Work cross functionally to help define problem statements, collect and wrangle data, conduct hypothesis testing, build and deploy machine learning models and make recommendations
Visualize information and develop engaging presentations on data science findings and results
Communicate findings and recommendations to technical and non-technical audiences
Partner with data scientists across the enterprise to help support the operationalization and ongoing maintenance of enterprise data science solutions
Maintain expertise and awareness of emerging data science techniques, technologies and potential business applications for ML/AI
Help coach and mentor data scientists and analysts throughout the company
Minimum Qualifications:
3+ years of Data Scientist experince (out of school)
Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science)
Strong programming skills in Python or R and SQL
Knowledge & applied experience using statistical and modeling techniques such as hypothesis testing, supervised learning methods (classification and regression), clustering, time series, and outlier/anomaly detection
Experience building, testing and deploying production ready models
Strong skills and knowledge of model training approaches, hyperparameter tuning, and model evaluation
Experience with data visualization tools and packages (e.g., Tableau, matplotlib, ggplot, etc.)
Ability to think creatively to solve problems and effectively break down complex problems into logical and manageable steps
Ability to present data and findings in a concise and engaging manner
Ability to communicate across all levels of the organization (technical and non-technical) and work with diverse project teams
Preferred Qualifications:
Master’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science)
Experience using cloud-based infrastructure such as Azure and AWS
Experience with MLOps frameworks such as MLFlow
Experience working in an Agile environment
Experience using Spark for large scale data processing
*No H1B sponsership available*
Job Type: Full-time
Benefits:
401(k)
401(k) matching
Dental insurance
Employee discount
Health insurance
Health savings account
Life insurance
Paid time off
Retirement plan
Tuition reimbursement
Vision insurance
Schedule:
8 hour shift
Day shift
Monday to Friday
No nights
No weekends
Application Question(s):
Do you require sponsorship to work, now or in the future?
Education:
Bachelor's (Required)
Experience:
Statistical model: 3 years (Preferred)
SQL: 3 years (Preferred)
Data Science: 3 years (Preferred)
Work Location: Remote"
Data Scientist (Remote),Yelp,Remote,3.4,PostedPosted 30+ days ago,"$96,000 - $220,000 a year","Communicate key insights from analyses, experiments and data products to stakeholders.
Prior industry experience building online experimentation and machine…",https://www.indeed.com/rc/clk?jk=0072004f2d3180a4&fccid=0e94073a1c937bd1&vjs=3,"At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and businesses around the globe, from a review of a coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners and the general public.

The Data Science & Analytics team performs analyses, builds models, and designs experiments that directly impact Yelp’s products and users. Our teams sit in Yelp’s central product management organization and work directly with cross-functional leaders to understand quantitatively how our products are performing and where the largest opportunities are. We are adept at tasks like modeling user preferences, inference from user and marketplace experiments, and generating insights about the health of local economies. With diverse backgrounds and expertise, we strive for learning and growth in a collaborative environment.

This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US.
Where You Come In:
Join a team of Data Scientists and Data Science Analysts that develop analytical frameworks and reliable measurement strategies for Yelp products
Design, execute, and analyze complex business and user experiments
Partner with other Data Scientists and Data Engineers to set the vision for and develop our experimentation platform
Devise and evaluate models for diverse business needs, such as identifying growth opportunities, estimating the impact of new features on our platforms, and personalizing the user experience
Proactively research and build ETL pipelines for product and marketplace metrics
Communicate key insights from analyses, experiments and data products to stakeholders

What It Takes to Succeed:
Ability to apply statistical, analytical and technical expertise to product and business problems
Prior experience structuring and leading impactful data science projects independently
Oral and written communication skills to mentor colleagues, and work effectively with partners on engineering, product and business teams
Expertise in SQL, and R or Python for data analysis and platform development
Enthusiasm for building a culture of learning and development
MS/PhD in quantitative field and 3+ years of industry experience in a senior quantitative role preferred

It's Nice To Have:
Product analytics experience with small business or consumer technology products
Prior industry experience building online experimentation and machine learning platforms

What You'll Get
This opportunity has the option to be fully remote in locations across the US.
Compensation range is $96,000-$220,000 annually. You may also be offered a bonus, restricted stock units, and benefits.
For more information about US benefits at Yelp, please check out this link.

#LI-Remote

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”

We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.

Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience.

We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco).

We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.

CCPA Privacy Notice"
"Analyst I, Data Science",Liberty Mutual Insurance,Remote,3.6,PostedPosted 1 day ago,"$70,100 - $161,600 a year",Competencies typically acquired through a Master's degree (scientific field of study) and 0-1 years of relevant experience or a Bachelor's degree (scientific…,https://www.indeed.com/rc/clk?jk=cd0fa8f45814bb7e&fccid=f33a9750898d12d4&vjs=3,"The Product Design and Modeling Department of Global Retail Markets is hiring an individual contributor for its Complex Components team. The Complex Components team develops sophisticated models that are used as input, or as complement, to our core pricing programs. The Individual Contributor role will report to the Underwriting Design team Manager and will build predictive models to improve the effectiveness of our underwriting actions and improve profitability across Personal Lines. The ideal candidate is proactive and intellectually curious, highly technical, and can think through complex business questions efficiently.
**This is a ranged posting. Position offered will be based on candidate experience at manager discretion.**
Responsibilities:
Research strategies and methodologies for new applications of advanced modeling techniques to inform underwriting decisions across Personal Lines.
Build, refine, and evaluate predictive models.
Understand our UW rules and processes in great detail; Determine predictive modeling strategies to improve process and profitability outcomes.
Collaborate with Delivery, State, IT, and various PL experts across the organization to develop and implement models.
Present recommendations to key stakeholders.
Engage with the Data Science community.
Qualifications
Solid knowledge of predictive analytics techniques and statistical diagnostics of models.
Advance knowledge of predictive toolset; expert resource for tool development.
Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
Has a value-driven perspective with regard to understanding of work context and impact.
Competencies typically acquired through a Master's degree (scientific field of study) and 0-1 years of relevant experience or a Bachelor's degree (scientific field of study) and 3+ years of relevant experience.
At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.

Liberty Mutual has proudly been recognized as a “Great Place to Work” by Great Place to Work® US for the past several years. We were also selected as one of the “100 Best Places to Work in IT” on IDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates—as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

15"
Nurse Data Miner,The Marker Group,Remote,3.0,PostedPosted 4 days ago,$30 - $38 an hour,"We are seeking full time, temporary or part-time Nurse Data Miners to review records to identify additional locations to collect records (data mining), as per…",https://www.indeed.com/company/The-Marker-Group/jobs/Nurse-Data-Miner-140b655ec00b030a?fccid=e49cf332ec5a5a9d&vjs=3,"Nurse Data Miner
The Marker Group is a prominent national company in northwest Houston that provides primarily defense litigation support services including record collection and analysis and medical review for complex legal cases.
We are seeking full time, temporary or part-time Nurse Data Miners to review records to identify additional locations to collect records (data mining), as per project protocol. Full-time positions are 30-40 hours per week with benefits. Temporary or part-time positions are contract (no benefits) and will be 29 hours or less per week. Paid in-house training for 5 days, then completely remote.
Requirements:
Registered Nurse or LVN's
Minimum of 5 years clinical experience required, preferably ER, ICU, Critical Care. Other specialties will be considered.
Ability to effectively communicate verbally and in writing.
Strong computer skills. Proficient in Microsoft Office Word. Knowledge of and practice with Outlook, and Excel.
Strong organizational skills.
Strong critical thinking skills.
Ability to meet short deadlines and prioritize workload.
Job Types: Full-time, Part-time, Temporary
Pay: $30.00 - $38.00 per hour
Schedule:
Self-determined schedule
Work Location: Remote"
Data Scientist Co-Op (Spring 2023),The Hershey Company,Remote,3.7,PostedPosted 30+ days ago,NaN,"Collaborates with IT to prepare and manipulate structured and unstructured data for data discovery and mining from multiple, disparate, resources.",https://www.indeed.com/rc/clk?jk=c5c10211b71b9b8f&fccid=e08898c7a89673c9&vjs=3,"Location: Remote
Duration: Spring 2023

WHY HERSHEY?
The Hershey Company is a global fortune 500 company that is a recognized leader in the Consumer Packaged Goods industry. Our goal is to integrate students with our knowledgeable and successful teams in order to maintain a fresh perspective on an ever-changing world. Every day presents new challenges and opportunities to learn, grow and innovate. Are you up for the challenge? Are you ready to make a difference?

WHY SUPPLY CHAIN AT HERSHEY?
The Supply Chain organization at The Hershey Company has open internships for analytically minded, tech-savvy undergraduate and graduate students. Technology and analytics are elemental to all aspects of Hershey’s supply chain. Hershey has a diverse global team focused on providing robust innovative capabilities, partnering on analysis to drive successful business outcomes and embraces an entrepreneurial mindset to create an environment that is exciting, compelling, innovative and dynamic.

We are looking to fill a Data Scientist Co-Op role with the Supply and Demand Planning Center of Excellence. This role will be focused on using implementing analytical methods through software to understand, improve and monitor our forecasting system and process. Additional data related problems are continuously arising; additional opportunities will be available based on experience/skill level. This work ensures the most accurate forecasts are being used to impact multiple facets of our supply chain planning.

RESPONSIBILITIES:
Collaborates with IT to prepare and manipulate structured and unstructured data for data discovery and mining from multiple, disparate, resources.
Builds high-end analytic models, utilizing supervised and unsupervised learning models, to support decision makers with data driven insights that address immediate business problems and objectives.
Creates informative visualizations that intuitively display large amounts of data and/or complex relationships.
Translates data analytics into coherent reports and presentations for internal and external customer with varying degrees of technical knowledge.

QUALIFICATIONS:
Passion for analytical problem solving.
Pro-active problem solver who continually asks why to understand root causes.
Experience with R or Python, SQL.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Knowledge of machine learning techniques and approaches (feature engineering, classification, clustering, decision trees, etc.).
Knowledge of time series analysis and forecasting a plus.
Familiar with software engineering tools and processes (git, repositories, containers, devops, PyCharm,etc.).
Quick learner through formal and self-guided education.
Ability to work in teams or individually.
Courage to challenge the status quo and take smart risks.
Excellent written and verbal communication skills for coordinating across teams.

EDUCATION:
Bachelors degree candidates in quantitative, STEM focused programs are preferred (e.g. Business, Computer Science, Engineering, Economics, Mathematics, Statistics)
Demonstrated experience with, and knowledge of, tools and techniques will also be considered.
The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws.

The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans
If you require a reasonable accommodation as part of the application process, please contact the HR Service Center (askhr@hersheys.com)."
Data Scientist,Ntropy Network,"Remote in New York, NY",NaN,PostedPosted 24 days ago,"$130,000 a year","Our end product is an API that makes financial transactions accessible to both humans and machine-learning models, in a scalable and privacy-preserving way.",https://www.indeed.com/rc/clk?jk=fe6e382847752143&fccid=dd616958bd9ddc12&vjs=3,"Over the last few decades, technological innovation has relied on democratizing some of its key ingredients: knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers). However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk. Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing. See our blog for more details.

One of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our end product is an API that makes financial transactions accessible to both humans and machine-learning models, in a scalable and privacy-preserving way.

We
- come from various fields - engineering, mathematics, physics and arts.
- are allergic to over-engineering.
- are anarchists at heart and like to hack around the status quo.
love playing board and video games.
- are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results.
- are willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, compilers, etc. are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.
- have a sense of humor (well, we think we do).

As an early member of our data science team, you will help
- push the limits of what can be done with data.
- build the team and drive the direction of the company.
- shape our product and culture.
- experience the direct impact of what you build on hundreds of millions of people’s financial lives.

The following are required
- the tools: Python, Pandas / Polars, Matplotlib, sklearn, etc.
SQL and fundamental database operations.
- recognized open-source contributions and/or top performance in data competitions (Kaggle, Numerai, etc.).
fluency in statistics and probability.

FAQ

Where is Ntropy located?

We are fully remote, with a virtual base in New York, US.

What time-zones do you work with?

We hire anywhere in GMT-7 to GMT+1.

Do you consider part-time work?

Not at the moment. Full-time roles only.

How are you funded?

We are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.

Do you already have a product and customers?

Yes. We have been in production since 1st April 2021 and have been rapidly growing since.

Do you plan to sell customer data?

Ntropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.

What is the interview process like?

1. Send us problems you have solved before and how. Please include as much detail as possible: code, algorithms, derivations, proofs, etc. We will then do a video call to kick things off and go through it (45 mins).

2. We will give you a take-home project related to whatever we are currently working on (3-4 hours). Alternatively, if you have a relevant project that you worked on previously that demonstrates your skills as an engineer, you are welcome to use that instead.

3. We will then do a deep-dive through the project over a call and discuss the implementation, improvements and bottlenecks.

Above all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.

What are your hiring plans?

We aim to be 30-40 people by the end of the year. Mostly engineering roles.

What is your current stack?

back-end - Python + Rust (where performance matters)
compute - AWS, GCP
ML - PyTorch, ONNX, Triton

Work / life balance?

We are a startup which requires you to put in a lot more work and soul than a regular job. We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.

What is the compensation?

$130k (adjusted for location) • 0.09%"
Data Scientist,DeepScribe,"Remote in San Francisco, CA",2.4,PostedPosted 2 days ago,NaN,"Analyze product data to identify problems and ideate product features and process enhancements.
Build controls, processes, and systems to ensure SLAs are met to…",https://www.indeed.com/rc/clk?jk=f7b2e9206e2fd91c&fccid=cb212f9b563bf78a&vjs=3,"Our Mission
At DeepScribe, everything we do is focused on our mission - to bring back the joy of care to medicine. Our goal is to empower physicians with the tools they need to improve both efficiency and efficacy and to improve patient outcomes by increasing the trust and understanding they have with their physicians. You will have the opportunity to transform healthcare.

What you'll do
As a Data Scientist, you will be accountable for data gathering and analysis of capacity forecasts, experiment results, and optimization of demand profiles.

Your impact
As a Data Scientist, you will apply operations research and statistical models to solve core challenges to DeepScribe.
You will work closely with senior executives to drive data-driven decisions related to human-in-the-loop Operations, Revenue Operations, and Product Operations.
Build data infrastructure to measure individual user service level requirements and develop systems to intelligently route resources to meet those requirements.
Develop models that measure growth, seasonality, and absorption of our human in the loop operation (contingent/partner resources) to train AI models and deliver medical notes within company-set SLAs.
Forecast quarterly, and semi-annually the capacity needed, alongside ensuring team members fulfill scheduled shifts from a demand side. Build controls, processes, and systems to ensure SLAs are met to deliver a best-in-class service.
Analyze product data to identify problems and ideate product features and process enhancements. Work cross functionally to pioneer and drive your own ideas to execution.
Contribute to margin improvement and experimental efforts
Drive experimentation and launch new data-driven efforts
Work Cross functionally and with leaders to build centralized reporting infrastructure

About You
Experience as a Data Scientist in a technology company
Degree in Data Science, Data Analytics, Statistical Analysis, or similar
Thrive in an independent work environment
Detail-oriented, leave nothing to chance
Achieve goals consistently and efficiently
Hold yourself accountable for work completed
You're proficient with general reporting tools and languages. SQL is a must, and you also have experience with other tools like Excel, Python, or R.

Perks and benefits
Meaningful equity stake in the company
Flexible PTO
Work from home stipend
Medical, Dental, Vision, 401K and other benefits are also offered

About the Team
At DeepScribe, we value trust, teamwork, and transparency, and we're dedicated to promoting diversity and equity in the workforce through inclusive hiring practices. Candidates with backgrounds that are underrepresented in the technology industry are encouraged to apply.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required eligibility verification form upon hire."
Junior Data Scientist,Augray,"Remote in Brookfield, WI 53045",NaN,PostedPosted 30+ days ago,"$55,000 - $60,000 a year","Exposure to writing code (Python preferred, R and SQL okay), collaboration (Git), developing models (machine learning, boosting & bagging algorithms, &/or…",https://www.indeed.com/rc/clk?jk=3af02d93417e951c&fccid=2e2cd27fc703e613&vjs=3,"Brookfield, WI, USA
Summary:
Hiring Fresher to 1 year experience in Data Science, ML with python and strong analytical skills with a passion to take part in R&D.
About AugRay:
Augray is on a mission to build next generation method of communication using Extended Reality – XR (AR/ VR/ MR) technologies and change the way businesses re conducted and how interactions happen with people. In an age where innovation is happening all around us, there’s commonality – people are driving these changes. We offer a solution that helps to articulate product demonstration and how people conversation takes place using smartphones and wearable glasses.
We are a fast-growing tech start up and have grown to over 100 employees today, launched 3 products and customers across 3 continents including brands like CocaCola, Reliance, Caterpillar, Simpsons and more.
We’re a small and impactful team of engineers, artists, solution geeks continuously working to improve our product and our craft. We use modern, cutting-edge tech stack and love experimenting and patenting with new technologies to create our products and provide opportunities for them to continue to learn and grow into leaders and experts.
We are excited to find a person that has the passion, experience, and ability to own significant R&D tasks and product evolution working individually and or along with a team of virtual engineers.
About the Role:
Research isn’t just a buzzword to you In your role as a Data Science Associate, you will use AI, ML (Machine Learning) to deliver insightful and actionable intelligence and predictive solutions to our team to create innovative solutions for our products. You will gain experience working in AR (Augmented Reality), ML, NLP and developing data driven solutions to create algorithms while working closely with other team members of our Data Science and engineering team to deliver value to our product evolution. Aside from supporting our data science model creation and data teams, you'll also assist the product team with growth opportunities. You over-invest in the visual and interaction and a passion to solve challenges while creating innovative patentable approaches.
Required Skills:
Work with Product Managers and Engineers to dive deep into data and the user experience
Construct product metrics and statistical models to identify growth opportunities
Handle data annotation and data analysis requests from multiple stakeholders with high efficiency and quality in a fast-paced environment.
Help with the development of the annotation guidelines.
Analyze language data and evaluate trends and patterns.
Participate in an annotation tool testing and onboarding.
Track and report quality metrics and ensure delivery on all KPIs and SLAs agreed with stakeholders.
Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation, audits and investigations on a periodic basis.
Qualifications:
Bachelor’s or equivalent experience in Mathematics, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
1+ years’ of experience as data scientist, modeling in python or R
Bachelor/master’s degree students pursuing degrees in data science, statistics, applied math, computer science, engineering or other quantitative fields providing sufficient data science foundations
Exposure to writing code (Python preferred, R and SQL okay), collaboration (Git), developing models (machine learning, boosting & bagging algorithms, &/or regression techniques), and performing predictive analytics testing and evaluation (match case analysis, confidence intervals, experimental design, A/B testing, etc.).
A hunger to learn and work on challenging problems.


Location: Remote (work along with other remote engineers)
Compensation: 55K to 60K with benefits
Please contact: interns@wisdominfotech.com
Immigration status: You should be a US Citizen or GC holder
Start Date: ASAP"
"Data Scientist, Analytics II #0000","Twitch Interactive, Inc.","Remote in San Francisco, CA 94104",3.5,PostedPosted 22 days ago,NaN,"1 year of experience using statistical computer language R, Python, or SQL to manipulate data and draw insights from large data sets.",https://www.indeed.com/rc/clk?jk=e81231b39cf512d0&fccid=fe2d21eef233e94a&vjs=3,"A Master’s degree or foreign equivalent in Computer Science, Engineering, Artificial Intelligence, Data Analytics, Statistics, Mathematics, or related field and 1 year of experience in a related occupation.

In the alternative, employer will accept a Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Artificial Intelligence, Data Analytics, Statistics, Mathematics, or related field followed by 5 progressively responsible years of experience in a related occupation.

Experience must include:
1. 1 year of experience developing A/B testing frameworks.
2. 1 year of experience visualizing data using Tableau.
3. 1 year of experience using statistical computer language R, Python, or SQL to manipulate data and draw insights from large data sets.
4. 1 year of experience applying fundamental statistical principles to solve applied problems.

Telecommuting benefits available
#0000

Job summary
Employer: Twitch Interactive, Inc.
Position: Data Scientist, Analytics II
Location: San Francisco, CA

Multiple Positions Available
1. Transform data into actionable insights and take data-driven approach to drive business decisions.
2. Translate loosely-defined business problems into analytic terms by applying and adapting existing frameworks and solutions. Deliver artifacts in the form of analysis reports, spreadsheets, design specs (for data tracking or A/B experiments) and dashboards. Build solutions that scale wherever possible, and partner with engineers or other teams to deliver self-serve tools that automate repeatable analytic tasks.
3. Solve problems using appropriate assumptions and translate findings into actionable recommendation.
4. Assume responsibility for correct implementation and validate data, assumptions and results.
5. Communicate work clearly, and adapt messaging for both technical and nontechnical audiences.
6. Participate in team business reviews, design, scoping, and prioritization discussions.
7. Work effectively with customers and/or internal partners to understand business impacts and identify any opportunities/problems arising from the technical or business decisions.
8. Provide feedback and analytics guidance to more junior team members.
9. Telecommuting benefits available.
#0000

All applicants must meet all the above listed requirements.

#0000

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records."
"Data Scientist, Baseball Research & Development",Cleveland Guardians - Baseball Operations,"Remote in Cleveland, OH",NaN,PostedPosted 30+ days ago,NaN,"The Cleveland Guardians Baseball Research & Development (R&D) group is seeking data scientists at a variety of experience levels, including senior, entry-level,…",https://www.indeed.com/rc/clk?jk=4e36abb4c8802708&fccid=dd616958bd9ddc12&vjs=3,"Primary Purpose
The Cleveland Guardians Baseball Research & Development (R&D) group is seeking data scientists at a variety of experience levels, including senior, entry-level, and interns/fellows. Prior experience with sports is not necessary if you have some curiosity or interest in learning about data science applications in baseball.

If you enjoy tackling challenging problems, using interesting real data, collaborating with smart people, and having a direct impact on what happens on the baseball field and in our business, this may be the opportunity for you!

People in this role will use statistical and machine learning techniques to better understand and quantify the game of baseball. You will analyze video, player tracking, and biomechanics data as well as traditional baseball data sources like box scores to help us acquire and develop baseball players into a championship-caliber team. You will work alongside the rest of the R&D, data engineering, and IT groups, and interact with coaches, scouts, and executives from across the organization.
The Cleveland Guardians prefer our employees (or teammates) reside in Cleveland, Ohio, but we will consider and discuss the possibility of remote work. We can also be flexible on start dates.
If you meet some of the qualifications below, we encourage you to apply or reach out for more information. We know that historically marginalized groups – including people of color, women, people from working class backgrounds, and people who identify as LGBTQ – are less likely to apply unless and until they meet every requirement for a job. We encourage you to reach out if you have questions about the role or your qualifications. We are happy to help you feel ready to apply!
Responsibilities
Design, build, test, and deploy statistical and/or machine learning models to support all facets of baseball operations, including scouting, player development, and the major league team.
Effectively communicate actionable insights to key stakeholders across the organization.
Using data to visualize model outputs and important baseball concepts.
Qualifications
Demonstrated experience or advanced degree in a quantitative field such as Statistics, Computer Science, Economics, Machine Learning, or Operations Research.
Programming skills in a language such as R or Python to work efficiently at scale with large data sets.
Desire to continue learning about data science applications in baseball.
Preferred Experience
We are looking for a variety of skill sets. If you have demonstrated experience with one or more of the following, you may be who we are looking for.
Demonstrated research experience in a sports context (baseball is a plus).
Experience with a database language such as SQL.
Experience with computer vision.
Experience working with spatiotemporal data.
Experience working with high-dimensional time series data.
Experience with deep learning frameworks such as TensorFlow or Torch.
Experience with Bayesian statistics and languages such as Stan.
Standard Requirements
All applicants for employment with the Cleveland Guardians will need to comply with the Cleveland Guardian Vaccination Policy as a condition of employment. Potential candidates for employment will be notified of the requirements of this policy prior to the start of employment.
Represent the Cleveland Guardians in a positive fashion to all business partners and the general public.
Ability to develop and maintain successful working relationship with members of the Front Office.
Ability to act according to the organizational values and service excellence at all times.
Ability to work with multicultural populations and have a commitment to fairness and equality.
Ability to work in a diverse and changing environment.
About Us
Our teammates are at the core of what we believe in: People, Collaboration, Learning, and Excellence (PeopleCLE). We look to hire individuals who are committed to our purpose of uniting and inspiring our city with the power of team. Our mission is to win the World Series while creating a compelling fan experience.
We believe that we will achieve our goals by making evidence and model-based decisions and creating environments that support our people and empower them to continuously learn. This role might be for you if you are looking to join a team that works together to learn new ways to make model-based decisions that lead to excellent outcomes.

We also pride ourselves on creating an attractive work environment highlighted by a healthy work-life balance, exceptional benefits such as health, vision, and dental coverage, and competitive 401k plan with employer contribution and match.
Our Hiring Process
A short, three question questionnaire to help us get to know you better than we do from just your application. No coding involved.
Two approximately 30-minute phone calls.
A longer take-home questionnaire to help us learn how you think through problems. No coding or project involved.
A final round of interviews with our R&D department as well as teammates across Baseball Operations."
Jr. Data Scientist,Net2Aspire,Remote,NaN,EmployerActive 2 days ago,"$65,000 - $80,000 a year", Create data dashboards and other data visualization tools to track progress to inform continuous quality improvement of the Congregate Settings Investigation…,https://www.indeed.com/company/net2aspire/jobs/Junior-Data-Scientist-41ce767aa007133d?fccid=268145626d239938&vjs=3," Apply Statistical and Machine Learning methods to specific business problems and data.
 Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
 Using tools such as Tableau, Looker and GoogleData Studio to aggregate data from across our software tools to build and develop dashboards for both client-facing and internal purposes across the company that feature relevant KPIs and metrics
 Create data dashboards and other data visualization tools to track progress to inform continuous quality improvement of the Congregate Settings Investigation and Response Unit.
 Design, develop, evaluate, and release highly innovative models elevate the customer experience and track impact over time
Job Types: Full-time, Part-time, Contract
Salary: $65,000.00 - $80,000.00 per year
Benefits:
401(k)
Health insurance
Schedule:
8 hour shift
Monday to Friday
Experience:
Data science: 1 year (Required)
Machine learning: 1 year (Required)
Work Location: Remote"
Data Scientist,Premier Inc.,Remote,3.8,PostedPosted 4 days ago,"$64,000 - $118,000 a year","You will be a member of a multidisciplinary team of data scientists, engineers, and clinicians tackling complex problems in a data-driven and collaborative way.",https://www.indeed.com/rc/clk?jk=9a82bddb264631d6&fccid=11802080879afc60&vjs=3,"Data Scientist

At Stanson Health (a Premier Inc subsidiary), we are passionate about building products that measurably improve patient care quality, safety, and affordability. Our products positively impact millions of patients by giving providers real-time treatment recommendations or automating time-consuming administrative tasks such as prior authorization. Foundational to all our products is a proprietary AI engine that processes patient information in real-time, leveraging state-of-the-art machine learning at scale.
What will you be doing:
As part of the Data Science team, you will have responsibility for conceptualizing, designing, implementing and deploying new machine learning algorithms into production daily. You will be a member of a multidisciplinary team of data scientists, engineers, and clinicians tackling complex problems in a data-driven and collaborative way. As a fully remote team, we value self-driven, result-oriented individuals mindful of tradeoffs between near-term needs and long-term strategic goals.

What we're looking for:

Required Qualifications
Work Experience:
Years of Applicable Experience - 2 or more years
Skills & Experience:
Airflow, Applied Machine Learning, Cross Functional Projects, Python, Software Development
Education:
Bachelors
In order to comply with applicable legal obligations, Premier requires employees to provide proof of full vaccination against COVID-19. We will consider requests for disability or religious accommodations during the recruiting process as needed. Premier will also observe state laws related to vaccination, as applicable.

PREFERRED QUALIFICATIONS
Two or more years in applied machine learning in fields such as Natural language processing (NLP) or Computer Vision (CV)
Strong preference in Python, model development frameworks such as PyTorch or Tensorflow
Experience with manipulating and analyzing large-scale datasets
Experience working in cross-functional teams
Software Development using source control and versioning
#LI-SD1
#LI-Remote

Premier’s compensation philosophy is to ensure that compensation is reasonable, equitable, and competitive in order to attract and retain talented and highly skilled employees. Premier’s internal salary range for this role is $64,000 - $118,000. Final salary is dependent upon several market factors including, but not limited to, departmental budgets, internal equity, education, unique skills/experience, and geographic location. Premier utilizes a wide-range salary structure to allow base salary flexibility within our ranges.

Employees also receive access to the following benefits:
Health, dental, vision, life and disability insurance
401k retirement program
Paid time off
Participation in Premier’s employee incentive plans
Tuition reimbursement and professional development opportunities
Premier at a glance:
Ranked #1 on Charlotte’s Healthiest Employers list for 2019, 2020 and 2022, and 49th Healthiest Employer in America (2022)
Named one of the World’s Most Ethical Companies® by Ethisphere® Institute for the 13th year in a row
The only company to be recognized by KLAS twice for Overall Healthcare Management Consulting

Employees receive:
Perks and discounts
Access to on-site and online exercise classes
Paid time off to volunteer in their communities

Premier is looking for smart, agile individuals like you to help us transform the healthcare industry. Here you will find critical thinkers who have the freedom to make an impact. Colleagues who share your thirst to learn more and do things better. Teammates committed to improving the health of a nation. See why incredible challenges require incredible people.

Qualified applicants will receive consideration for employment without regard to unlawful discrimination because of their age, race, color, religion, national origin, ancestry, citizenship status, gender, sexual orientation, gender identity, gender expression, marital status, familial status, pregnancy status, genetic information, status as a victim of domestic violence, covered military or protected veteran status, disability, or any other applicable federal, state or local protected class, trait or status or that of persons with whom an applicant associates. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. In addition, as a federal contractor, Premier complies with government regulations, including affirmative action responsibilities, where they apply.

Premier also provides reasonable accommodations to qualified individuals with a disability or those who have a sincerely held religious belief. If you need assistance in the application process, please reply to
diversity_and_accommodations@premierinc.com
or contact Premier Recruiting at 704.816.5200."
Data Scientist,Underwriters Laboratories Inc.,"Remote in Northbrook, IL 60062+1 location",3.6,PostedPosted 2 days ago,NaN,"The Data Scientist will be working with the product, engineering, and ML Ops teams to develop innovative solutions for retail and TIC problems using machine…",https://www.indeed.com/rc/clk?jk=4e86b0576e810902&fccid=353853af3b99ac74&vjs=3,":
At UL, we know why we come to work.:
Thousands of us around the world wake up every day with a common purpose: to make the world a safer, more secure, and sustainable place. Science is in our DNA; we are endlessly curious and passionate about seeking and speaking the truth. We take delight in knowing that our work makes a meaningful contribution to society, and we are proud that our culture is centered on integrity, collaboration, inclusion, and excellence. UL stands at the forefront of technological advancement, and we are continually challenged to find new ways to foster innovation and positive change.

Satisfying? Yes. Exciting? Absolutely!
What you’ll learn & achieve::
The Data Scientist will be working with the product, engineering, and ML Ops teams to develop innovative solutions for retail and TIC problems using machine learning, NLP, deep learning, and statistical methods
Conduct data exploration, analysis, and experiments to establish technical viability of business ideas
Collaborate with ML engineers and QA team to productionize the models
Research state-of-the-art tools and techniques in data science and help integrate them in our development processes
Present all aspects of a data science project to lead technical and non-technical audiences through the goals, methods, and implications of the project
Write research papers, presentations, and patents, where applicable
What makes you a great fit::
University Degree (Equivalent to Bachelor’s degree) in Computer Science, Data Science, statistics, or a related discipline with 1+ years of work experience in data science
Experience using machine learning, deep learning, NLP, and advanced statistical methods to solve business problems
Solid technical knowledge and experience writing and testing Python code in production
Experience with large datasets
Knowledge of SQL
Strong interpersonal skills with the ability to communicate with technical and non-technical internal and stakeholders
Strong sense of ownership and ability to work independently on ambiguous problems
UL has COVID-19 protocols and policies in place to ensure the safety of our employees, customers, and clients. Effective November 1, 2021, the company mandates that employees are vaccinated against COVID-19 as a condition of employment (except where prohibited by law), subject to reasonable accommodation as required by law.
What you’ll experience working at UL::
Mission: For UL, corporate and social responsibility isn’t new. Making the world a safer, more secure, and sustainable place has been our business model for the last 125 years and is deeply engrained in everything we do.

People: Ask any UL employee what they love most about working here, and you’ll almost always hear, “the people.” Going beyond what is possible is the standard at UL. We’re able to deliver the best because we employ the best.

Interesting work: Every day is different for us here as we eagerly anticipate the next innovation that our customers create. We’re inspired to take on the challenge that will transform how people live, work and play. And as a global company, in many roles, you will get international experience working with colleagues around the world.

Grow & achieve: We learn, work, and grow together with targeted development, reward, and recognition programs as well as our very own UL University that offers extensive training programs for employees at all stages, including a technical training track for applicable roles.

Total Rewards: All employees at UL are eligible for bonus compensation. UL offers a generous 401k matching structure of up to 5% of eligible pay. Additionally, we invest an additional 4% into your retirement saving fund after your first year of continuous employment. We provide Healthcare Reimbursement Accounts and Health Savings Accounts that UL contributes to twice per year! Depending on your role, you can work with your manager on flexible working arrangements. We also provide employees with paid time off including vacation, holiday, sick and volunteer time off.
Learn More::
Working at UL is an exciting journey that twists and turns daily. We thrive in the twists and revel in the turns.

This is our every day. This is our normal.

Curious? To learn more about us and the work we do, visit UL.com"
Data Scientist,Radcube LLC,Remote,NaN,EmployerActive 4 days ago,"$111,648 - $122,984 a year","The role will involve working with Research Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of…",https://www.indeed.com/company/Radcube-LLC/jobs/Data-Scientist-635c45a8d9deb90e?fccid=f51b75d687e40b14&vjs=3,"As a Data Scientist, you will be analyzing a wide range of unstructured data to address problems through attentive listening, astute planning, and out of the box thinking to develop solutions and reporting results in an engaging manner. The role will involve working with Research Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. The ideal candidate for this position will possess ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day today data requests and analysis.
Skill Set – Have 3+ years' experience working with NLP (must to have), text analytics, proficiency in Python/R, and Git. Detailed information about Python and/ or R with the real time experience, instead of few bullet points. Experience in Pharma domain and unstructured text handling is a plus. Experience and knowledge of NLP is a plus Experience and knowledge with different model, expertise and accomplishments. Experience with text parsing/regular expressions (regex), and proficiency in libraries like Pandas, re, sci-kit learn, docx at some level Command of data science principles (regression, Bayes, time series, clustering, P/R, AUROC) Profile – Professional resume with good writeup about their experience and expertise and clear academic information with year and stream. Focus should be on relevant experience and technologies for this job. This would be helpful for evaluation. Machine Learning / Deep Learning Algorithms - Logistic Regression, SVM, Naive Bayes , RNN etc. With detailed information about experience and working knowledge. Text Analytics (Importance of everything in words as given above). Explain what is the real experience, rather mentioning just Test Analytics Sentiment analysis (e.g customer is happy, sad, likes a brand, positive or negative for a service or product and so on using available/ customizable python/R libraries) Sound Knowledge of Python/R. For example; if someone talk about Python or R, they can be explanatory that how did they use Python/ R rather adding few bullet points. Purpose, key highlights, accomplishments etc.. Having some cloud experience would give added advantage.
Must have:
Python, R
Cloud
Data Analytics
Machine Learning, NLP
Text Analytics
Job Types: Full-time, Contract
Pay: $111,648.00 - $122,984.00 per year
Schedule:
8 hour shift
Experience:
Python: 3 years (Required)
Natural language processing: 3 years (Required)
R: 3 years (Preferred)
cloud: 3 years (Required)
Machine learning: 3 years (Preferred)
Text Analytics: 3 years (Preferred)
Data analytics: 3 years (Preferred)
Data visualization: 3 years (Required)
Predictive analytics: 1 year (Preferred)
Deep learning: 1 year (Preferred)
Work Location: Remote"
Data Scientist,Ntropy Network,"Remote in New York, NY",NaN,PostedPosted 24 days ago,"$130,000 a year","Our end product is an API that makes financial transactions accessible to both humans and machine-learning models, in a scalable and privacy-preserving way.",https://www.indeed.com/rc/clk?jk=fe6e382847752143&fccid=dd616958bd9ddc12&vjs=3,"Over the last few decades, technological innovation has relied on democratizing some of its key ingredients: knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers). However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk. Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing. See our blog for more details.

One of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our end product is an API that makes financial transactions accessible to both humans and machine-learning models, in a scalable and privacy-preserving way.

We
- come from various fields - engineering, mathematics, physics and arts.
- are allergic to over-engineering.
- are anarchists at heart and like to hack around the status quo.
love playing board and video games.
- are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results.
- are willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, compilers, etc. are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.
- have a sense of humor (well, we think we do).

As an early member of our data science team, you will help
- push the limits of what can be done with data.
- build the team and drive the direction of the company.
- shape our product and culture.
- experience the direct impact of what you build on hundreds of millions of people’s financial lives.

The following are required
- the tools: Python, Pandas / Polars, Matplotlib, sklearn, etc.
SQL and fundamental database operations.
- recognized open-source contributions and/or top performance in data competitions (Kaggle, Numerai, etc.).
fluency in statistics and probability.

FAQ

Where is Ntropy located?

We are fully remote, with a virtual base in New York, US.

What time-zones do you work with?

We hire anywhere in GMT-7 to GMT+1.

Do you consider part-time work?

Not at the moment. Full-time roles only.

How are you funded?

We are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.

Do you already have a product and customers?

Yes. We have been in production since 1st April 2021 and have been rapidly growing since.

Do you plan to sell customer data?

Ntropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.

What is the interview process like?

1. Send us problems you have solved before and how. Please include as much detail as possible: code, algorithms, derivations, proofs, etc. We will then do a video call to kick things off and go through it (45 mins).

2. We will give you a take-home project related to whatever we are currently working on (3-4 hours). Alternatively, if you have a relevant project that you worked on previously that demonstrates your skills as an engineer, you are welcome to use that instead.

3. We will then do a deep-dive through the project over a call and discuss the implementation, improvements and bottlenecks.

Above all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.

What are your hiring plans?

We aim to be 30-40 people by the end of the year. Mostly engineering roles.

What is your current stack?

back-end - Python + Rust (where performance matters)
compute - AWS, GCP
ML - PyTorch, ONNX, Triton

Work / life balance?

We are a startup which requires you to put in a lot more work and soul than a regular job. We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.

What is the compensation?

$130k (adjusted for location) • 0.09%"
Data Scientist,DeepScribe,"Remote in San Francisco, CA",2.4,PostedPosted 2 days ago,NaN,"Analyze product data to identify problems and ideate product features and process enhancements.
Build controls, processes, and systems to ensure SLAs are met to…",https://www.indeed.com/rc/clk?jk=f7b2e9206e2fd91c&fccid=cb212f9b563bf78a&vjs=3,"Our Mission
At DeepScribe, everything we do is focused on our mission - to bring back the joy of care to medicine. Our goal is to empower physicians with the tools they need to improve both efficiency and efficacy and to improve patient outcomes by increasing the trust and understanding they have with their physicians. You will have the opportunity to transform healthcare.

What you'll do
As a Data Scientist, you will be accountable for data gathering and analysis of capacity forecasts, experiment results, and optimization of demand profiles.

Your impact
As a Data Scientist, you will apply operations research and statistical models to solve core challenges to DeepScribe.
You will work closely with senior executives to drive data-driven decisions related to human-in-the-loop Operations, Revenue Operations, and Product Operations.
Build data infrastructure to measure individual user service level requirements and develop systems to intelligently route resources to meet those requirements.
Develop models that measure growth, seasonality, and absorption of our human in the loop operation (contingent/partner resources) to train AI models and deliver medical notes within company-set SLAs.
Forecast quarterly, and semi-annually the capacity needed, alongside ensuring team members fulfill scheduled shifts from a demand side. Build controls, processes, and systems to ensure SLAs are met to deliver a best-in-class service.
Analyze product data to identify problems and ideate product features and process enhancements. Work cross functionally to pioneer and drive your own ideas to execution.
Contribute to margin improvement and experimental efforts
Drive experimentation and launch new data-driven efforts
Work Cross functionally and with leaders to build centralized reporting infrastructure

About You
Experience as a Data Scientist in a technology company
Degree in Data Science, Data Analytics, Statistical Analysis, or similar
Thrive in an independent work environment
Detail-oriented, leave nothing to chance
Achieve goals consistently and efficiently
Hold yourself accountable for work completed
You're proficient with general reporting tools and languages. SQL is a must, and you also have experience with other tools like Excel, Python, or R.

Perks and benefits
Meaningful equity stake in the company
Flexible PTO
Work from home stipend
Medical, Dental, Vision, 401K and other benefits are also offered

About the Team
At DeepScribe, we value trust, teamwork, and transparency, and we're dedicated to promoting diversity and equity in the workforce through inclusive hiring practices. Candidates with backgrounds that are underrepresented in the technology industry are encouraged to apply.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required eligibility verification form upon hire."
Junior Data Scientist,Augray,"Remote in Brookfield, WI 53045",NaN,PostedPosted 30+ days ago,"$55,000 - $60,000 a year","Exposure to writing code (Python preferred, R and SQL okay), collaboration (Git), developing models (machine learning, boosting & bagging algorithms, &/or…",https://www.indeed.com/rc/clk?jk=3af02d93417e951c&fccid=2e2cd27fc703e613&vjs=3,"Brookfield, WI, USA
Summary:
Hiring Fresher to 1 year experience in Data Science, ML with python and strong analytical skills with a passion to take part in R&D.
About AugRay:
Augray is on a mission to build next generation method of communication using Extended Reality – XR (AR/ VR/ MR) technologies and change the way businesses re conducted and how interactions happen with people. In an age where innovation is happening all around us, there’s commonality – people are driving these changes. We offer a solution that helps to articulate product demonstration and how people conversation takes place using smartphones and wearable glasses.
We are a fast-growing tech start up and have grown to over 100 employees today, launched 3 products and customers across 3 continents including brands like CocaCola, Reliance, Caterpillar, Simpsons and more.
We’re a small and impactful team of engineers, artists, solution geeks continuously working to improve our product and our craft. We use modern, cutting-edge tech stack and love experimenting and patenting with new technologies to create our products and provide opportunities for them to continue to learn and grow into leaders and experts.
We are excited to find a person that has the passion, experience, and ability to own significant R&D tasks and product evolution working individually and or along with a team of virtual engineers.
About the Role:
Research isn’t just a buzzword to you In your role as a Data Science Associate, you will use AI, ML (Machine Learning) to deliver insightful and actionable intelligence and predictive solutions to our team to create innovative solutions for our products. You will gain experience working in AR (Augmented Reality), ML, NLP and developing data driven solutions to create algorithms while working closely with other team members of our Data Science and engineering team to deliver value to our product evolution. Aside from supporting our data science model creation and data teams, you'll also assist the product team with growth opportunities. You over-invest in the visual and interaction and a passion to solve challenges while creating innovative patentable approaches.
Required Skills:
Work with Product Managers and Engineers to dive deep into data and the user experience
Construct product metrics and statistical models to identify growth opportunities
Handle data annotation and data analysis requests from multiple stakeholders with high efficiency and quality in a fast-paced environment.
Help with the development of the annotation guidelines.
Analyze language data and evaluate trends and patterns.
Participate in an annotation tool testing and onboarding.
Track and report quality metrics and ensure delivery on all KPIs and SLAs agreed with stakeholders.
Maximize productivity, process efficiency and quality through streamlined workflows, process standardization, documentation, audits and investigations on a periodic basis.
Qualifications:
Bachelor’s or equivalent experience in Mathematics, Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
1+ years’ of experience as data scientist, modeling in python or R
Bachelor/master’s degree students pursuing degrees in data science, statistics, applied math, computer science, engineering or other quantitative fields providing sufficient data science foundations
Exposure to writing code (Python preferred, R and SQL okay), collaboration (Git), developing models (machine learning, boosting & bagging algorithms, &/or regression techniques), and performing predictive analytics testing and evaluation (match case analysis, confidence intervals, experimental design, A/B testing, etc.).
A hunger to learn and work on challenging problems.


Location: Remote (work along with other remote engineers)
Compensation: 55K to 60K with benefits
Please contact: interns@wisdominfotech.com
Immigration status: You should be a US Citizen or GC holder
Start Date: ASAP"
"Data Scientist, Analytics II #0000","Twitch Interactive, Inc.","Remote in San Francisco, CA 94104",3.5,PostedPosted 22 days ago,NaN,"1 year of experience using statistical computer language R, Python, or SQL to manipulate data and draw insights from large data sets.",https://www.indeed.com/rc/clk?jk=e81231b39cf512d0&fccid=fe2d21eef233e94a&vjs=3,"A Master’s degree or foreign equivalent in Computer Science, Engineering, Artificial Intelligence, Data Analytics, Statistics, Mathematics, or related field and 1 year of experience in a related occupation.

In the alternative, employer will accept a Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Artificial Intelligence, Data Analytics, Statistics, Mathematics, or related field followed by 5 progressively responsible years of experience in a related occupation.

Experience must include:
1. 1 year of experience developing A/B testing frameworks.
2. 1 year of experience visualizing data using Tableau.
3. 1 year of experience using statistical computer language R, Python, or SQL to manipulate data and draw insights from large data sets.
4. 1 year of experience applying fundamental statistical principles to solve applied problems.

Telecommuting benefits available
#0000

Job summary
Employer: Twitch Interactive, Inc.
Position: Data Scientist, Analytics II
Location: San Francisco, CA

Multiple Positions Available
1. Transform data into actionable insights and take data-driven approach to drive business decisions.
2. Translate loosely-defined business problems into analytic terms by applying and adapting existing frameworks and solutions. Deliver artifacts in the form of analysis reports, spreadsheets, design specs (for data tracking or A/B experiments) and dashboards. Build solutions that scale wherever possible, and partner with engineers or other teams to deliver self-serve tools that automate repeatable analytic tasks.
3. Solve problems using appropriate assumptions and translate findings into actionable recommendation.
4. Assume responsibility for correct implementation and validate data, assumptions and results.
5. Communicate work clearly, and adapt messaging for both technical and nontechnical audiences.
6. Participate in team business reviews, design, scoping, and prioritization discussions.
7. Work effectively with customers and/or internal partners to understand business impacts and identify any opportunities/problems arising from the technical or business decisions.
8. Provide feedback and analytics guidance to more junior team members.
9. Telecommuting benefits available.
#0000

All applicants must meet all the above listed requirements.

#0000

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records."
Senior Principal Data Scientist - Telecommute,UnitedHealth Group,"Remote in Minnetonka, MN 55345",3.6,PostedPosted 8 days ago,NaN,"Recruit, mentor and lead a team of applied research scientists and data scientists with continued focus on high performance and continual learning growth.",https://www.indeed.com/pagead/clk?mo=r&ad=-6NYlbfkN0C8O9VKdOj_1Zh75e9_CvYhSsWVxS1Pvi5WUWhsf4w7FIc3O6B0uG3ldAQAeoX1gorom5lWJslKkQGvDIzPw8CwzAwyQiGBN86IA6fmbqFicBARIgp5ZlkJhRTc-6guBEXH8Ho8SNomNufP-uJcHeQPFsB9JMqahHZFK_sMpIWFs0rWwNd4Jq5G4i_5g7OjCK11ZCzne19_qUluzWDhjlL70QLpMx7xIrm7kZgX5010adgq1prhDcJJ_RM55pYAtPv2YHVOtXGS9brXpZ87eosCeMplEwxiEnSSmaIfyJnUId2LkRKR-gGhro0peXEydNE5cVNedSKZtTftxNOaLcB0Gj5vltTU58NjJzonA7UFxdul65ZIEsib6rNtDJEgbX-RZ_rQFLc7IT0XmMdS0HdLH6_lepDogbMEqFCIgt7j9Q==&xkcb=SoDf-_M3WJmDXJ2ach0JbzkdCdPP&p=4&fvj=0&vjs=3,"Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that's improving the lives of millions. Here, innovation isn't about another gadget, it's about making health care data available wherever and whenever people need it, safely and reliably. There's no room for error. Join us and start doing your life's best work.(sm)

Optum Labs is the research and development arm of UnitedHealth Group. We're a diverse team of curious thinkers and experts in big data, artificial intelligence and machine learning, and scientific and clinical research searching for new ways to help people live healthier lives. We partner with world leaders in health care delivery, research, and technology to create disruptive solutions that serve patients, caregivers, providers, and commercial and government payers.



More equitable, effective, and affordable health care - that's our goal. We aren't just trying to improve the care an individual receives. We're building a future where the health care system works better for everyone.



Our team at Optum Labs is seeking a Principal Scientist ML with expertise and experience in in applying machine learning to use-cases (e.g., healthcare) with high-stakes consequences. This is an individual contributor role responsible for conducting research and development of advanced, high-impact machine learning techniques for various healthcare use cases. This role provides an unprecedented opportunity to leverage large-scale proprietary healthcare datasets, internal team of subject matter experts and cutting-edge computing cloud infrastructure to craft innovative machine learning problems to challenging and high-impact healthcare problems.

You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

Conduct research into machine learning methods for use cases such as disease early-onset and progression modeling (including uncertainty quantification), population health risk identification and patient intent/experience prediction – potential techniques could be regression, classification, sequence modeling, time-series methods, anomaly detection, clustering/segmentation etc.

Develop and expand a fledgling applied research program with focus on prioritizing impact-focused initiatives, rapid prototyping and obsession with converting applied research into software

Manage and optimize a research lifecycle management program with focus on framework-driven idea curation, prioritization, milestone definition and commercialization-driven measurement

Be a hands-on leader and mentor by example by building prototypes/Pocs using variety of predictive methods (ML, DL, Probabilistic methods, time-series/spatial methods)

Lead deep-dive meetings with business stakeholders, data experts, software/platform engineering, clinicians to scope R&D use-cases and convert them into scope of work

Develop, justify, and execute key Applied R&D programs that advance key Optum Labs analytics and data capabilities.

Recruit, mentor and lead a team of applied research scientists and data scientists with continued focus on high performance and continual learning growth.

Self-drive knowledge accumulation of methods and modeling advances by reading research publications, blogs and attending presentations and webinars and sharing it with the internal teams

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

Master’s degree in Engineering, Mathematics or computer science

10+ years of solid experience in scientific programming via a combination of languages such as Python, R, Julia, Matlab, C++ - (we mainly are looking for a level where the candidate understands difference between good and bad code, script and program, knowing when to use what etc.)

7+ years of experience designing and implementing predictive or experimental research (e.g. forecasting, survey design, simulation, observational, statistical preferably at scale) using multiple kinds of predictive (ML, statistical) methods

7+ years of relevant applied research thought in healthcare, energy, industrial AI, aerospace or other high-stakes domains (direct experience in a cloud environment is highly valued)

Experience distilling concepts into frameworks and converting approaches into scalable tools

Experience digesting and evaluating evidence from interdisciplinary literature

Experience presenting via written and verbal mediums to a variety of audiences

Preferred Qualifications:

PhD in Engineering, Mathematics or Computer Science

Experience with one or many of these topics such in customer churn, intent prediction, disease/damage progression, anomaly detection, sequence-based models, time-series forecasting or time to event modeling in the population health domain

Experience in deploying machine learning models in a production setting (logging, monitoring, alerts) in a cloud environment

Exposure to extracting and manipulating data via tool/libraries/forms such as Spark, pandas, scikit family, numpy/scipy, matplotlib, streamlit

Demonstrable ability for or experience with designing applied research initiatives with a underlying focus on quantifiable value generation for business via software implementations.

Proven record of publishing applied research on predictive methods in academic journals of your field (should be listed on resume or added as an attachment when applying)

Ability to work collaboratively in a matrixed environment to deliver multi-phased work.

Full COVID-19 vaccination is an essential job function of this role. Candidates located in states that mandate COVID-19 booster doses must also comply with those state requirements. UnitedHealth Group will adhere to all federal, state and local regulations as well as all client requirements and will obtain necessary proof of vaccination, and boosters when applicable, prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation.

We Lead with Diversity, Inclusion and Compassion

At Optum Labs, we are dedicated to building teams where every individual is recognized for their unique experience and contributions. Our Leadership Principles underscore our commitment to inclusion, encouraging us to “walk in each other’s shoes” and open doors for our peers.



UnitedHealth Group supports local, regional, and national organizations that share these values through joint initiatives, event and program participation, volunteerism and giving. Through our Connected Communities, employees can connect with others who have similar – or different – life experiences and backgrounds. These groups are led by peers, supported by Human Capital, and championed by leaders.

We Invest in Talent

Managers at every level are committed to their roles as talent stewards who help guide and nurture professional development. We want our employees to reach their highest level of potential just as they help us reach ours.



To protect the health and safety of our workforce, patients and communities we serve, UnitedHealth Group and its affiliate companies require all employees to disclose COVID-19 vaccination status prior to beginning employment. In addition, some roles and locations require full COVID-19 vaccination, including boosters, as an essential job function. UnitedHealth Group adheres to all federal, state and local COVID-19 vaccination regulations as well as all client COVID-19 vaccination requirements and will obtain the necessary information from candidates prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation. Failure to meet the vaccination requirement may result in rescission of an employment offer or termination of employment

Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make health care work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.(sm)

All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy.

Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado/Connecticut/Nevada residents is $113,500 to $218,100. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment."
"Data Scientist, Baseball Research & Development",Cleveland Guardians - Baseball Operations,"Remote in Cleveland, OH",NaN,PostedPosted 30+ days ago,NaN,"The Cleveland Guardians Baseball Research & Development (R&D) group is seeking data scientists at a variety of experience levels, including senior, entry-level,…",https://www.indeed.com/rc/clk?jk=4e36abb4c8802708&fccid=dd616958bd9ddc12&vjs=3,"Primary Purpose
The Cleveland Guardians Baseball Research & Development (R&D) group is seeking data scientists at a variety of experience levels, including senior, entry-level, and interns/fellows. Prior experience with sports is not necessary if you have some curiosity or interest in learning about data science applications in baseball.

If you enjoy tackling challenging problems, using interesting real data, collaborating with smart people, and having a direct impact on what happens on the baseball field and in our business, this may be the opportunity for you!

People in this role will use statistical and machine learning techniques to better understand and quantify the game of baseball. You will analyze video, player tracking, and biomechanics data as well as traditional baseball data sources like box scores to help us acquire and develop baseball players into a championship-caliber team. You will work alongside the rest of the R&D, data engineering, and IT groups, and interact with coaches, scouts, and executives from across the organization.
The Cleveland Guardians prefer our employees (or teammates) reside in Cleveland, Ohio, but we will consider and discuss the possibility of remote work. We can also be flexible on start dates.
If you meet some of the qualifications below, we encourage you to apply or reach out for more information. We know that historically marginalized groups – including people of color, women, people from working class backgrounds, and people who identify as LGBTQ – are less likely to apply unless and until they meet every requirement for a job. We encourage you to reach out if you have questions about the role or your qualifications. We are happy to help you feel ready to apply!
Responsibilities
Design, build, test, and deploy statistical and/or machine learning models to support all facets of baseball operations, including scouting, player development, and the major league team.
Effectively communicate actionable insights to key stakeholders across the organization.
Using data to visualize model outputs and important baseball concepts.
Qualifications
Demonstrated experience or advanced degree in a quantitative field such as Statistics, Computer Science, Economics, Machine Learning, or Operations Research.
Programming skills in a language such as R or Python to work efficiently at scale with large data sets.
Desire to continue learning about data science applications in baseball.
Preferred Experience
We are looking for a variety of skill sets. If you have demonstrated experience with one or more of the following, you may be who we are looking for.
Demonstrated research experience in a sports context (baseball is a plus).
Experience with a database language such as SQL.
Experience with computer vision.
Experience working with spatiotemporal data.
Experience working with high-dimensional time series data.
Experience with deep learning frameworks such as TensorFlow or Torch.
Experience with Bayesian statistics and languages such as Stan.
Standard Requirements
All applicants for employment with the Cleveland Guardians will need to comply with the Cleveland Guardian Vaccination Policy as a condition of employment. Potential candidates for employment will be notified of the requirements of this policy prior to the start of employment.
Represent the Cleveland Guardians in a positive fashion to all business partners and the general public.
Ability to develop and maintain successful working relationship with members of the Front Office.
Ability to act according to the organizational values and service excellence at all times.
Ability to work with multicultural populations and have a commitment to fairness and equality.
Ability to work in a diverse and changing environment.
About Us
Our teammates are at the core of what we believe in: People, Collaboration, Learning, and Excellence (PeopleCLE). We look to hire individuals who are committed to our purpose of uniting and inspiring our city with the power of team. Our mission is to win the World Series while creating a compelling fan experience.
We believe that we will achieve our goals by making evidence and model-based decisions and creating environments that support our people and empower them to continuously learn. This role might be for you if you are looking to join a team that works together to learn new ways to make model-based decisions that lead to excellent outcomes.

We also pride ourselves on creating an attractive work environment highlighted by a healthy work-life balance, exceptional benefits such as health, vision, and dental coverage, and competitive 401k plan with employer contribution and match.
Our Hiring Process
A short, three question questionnaire to help us get to know you better than we do from just your application. No coding involved.
Two approximately 30-minute phone calls.
A longer take-home questionnaire to help us learn how you think through problems. No coding or project involved.
A final round of interviews with our R&D department as well as teammates across Baseball Operations."
Sr. Technical Data Analyst - Remote,UnitedHealth Group,"Remote in Minneapolis, MN 55431",3.6,PostedToday,NaN,"Collaborate with data engineers on data pipeline development to ensure detailed documentation, inclusion of data quality checks to support the data definitions.",https://www.indeed.com/pagead/clk?mo=r&ad=-6NYlbfkN0C8O9VKdOj_1Zh75e9_CvYhSsWVxS1Pvi5WUWhsf4w7FMAvYeXKDPN-nfF3PqegTJXVBQHlfUc7bElZgACvUaa5gYs4cJ_Bh3h8O7fZxRJVVgGukAlM1s_PP2Htleb685ez9A-Q1Gt5mPbgF-jDPOy6NnetkKiZPvnOTWYu79VC375HBgLU8JrESICF8rxkrfjFJsn3ETO_i4q_OGAkYtF5dAZdYzWNgA9R4T1g2-DdaQXhzTbjw0PjN_Uzp8KtAtM1Klf1eTb0b3uL5si7Oja9Hw-0cM5d4_fqQvZseRKWYsj-fk9b3qlFH3siHsccMaReOd51T0VHPMaMgIPnRSMdeCar3PXWl4tLp2-6cNrAlpb0YmrMZRtww-BxLYcDbMEzYx--IlzhQvLLdu0BF2MHnvtU9y6A_B3ucjRiZCdJFA==&xkcb=SoDl-_M3WJmDXJ2ach0PbzkdCdPP&p=6&fvj=0&vjs=3,"At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and equitable. Ready to make a difference? Join us and start doing your life's best work.(sm)

Surest™, A UnitedHealthcare Company, (formerly Bind) provides a new approach to health benefits designed to make it easier and more affordable for people to access health care services. Our innovative company is part tech start-up, part ground-breaking service delivery-changing the way benefits serve customers and consumers to deliver meaningful results and better outcomes (and we have just begun). We understand our members and employers alike desire a user-friendly, intuitive experience that puts people in control when it comes to the choices they make and the costs they pay for medical care, and we are seeking team members to continue to advance our vision. By harnessing data and technology, Surest plans are designed to better meet the health and financial needs of all Americans. At Surest, we pride ourselves in our ability to make a difference, and with the backing of our parent company, UnitedHealthcare, we can operate in the best of both worlds-the culture and pace of an innovative start-up with big company support and stability. Come join the Surest team and help us design and deliver a cutting-edge health benefit that changes the face of healthcare.

Summary

Seeking technical Data Analyst to collaborate in researching, documenting, designing, qualifying data throughout the Surest data platform

Position includes the technical analysts building their capability to develop and deploy data engineering processing pipelines

Position includes working with employer, medical/pharmacy claims, benefit, reference, and provider data as well as understanding the processes and flow of data throughout the platform. Surest is looking for a Healthcare Data Analyst who can work within a team to understand business needs and priorities, and develop corresponding requirements and document scenarios, develop, design, and implement ETL processing jobs, validate proposed and coded solutions

Focus, attention to detail, enthusiasm, and a dedication to excellence are all personal characteristics highly valued in the Surest organization

You’ll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

Review vendor/partner data and Surest capabilities to create data definitions, transformation logic, and data organization options based on business requirements

Analyze and document new and existing data interfaces within the Surest data platform

Contribute to the data processing design and development process, providing inputs based on completed analysis and data mappings

involvement in developing and deploying data processing pipelines

Collaborate with product owners, other analysts, and vendors to document complex business requests throughout the Surest platform

Translate data analysis and business logic into documentation that can be understood by broad audiences

Analyze Surest healthcare data to elicit patterns in the data that can be communicated to data engineers to optimize the processing and storage of the data

Data analysis in support of the data pipeline source-to-target mappings, ETL system designs, and data testing

Collaborate with data engineers on data pipeline development to ensure detailed documentation, inclusion of data quality checks to support the data definitions

Analysis providing detailed insights into new and existing data requests to support new requirements definitions and data pipeline development

Partner with developers and testers in an Agile Scrum framework to communicate, refine, and validate requirements and solutions

Participate in user acceptance testing to validate those solutions meet requirements

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

3+ years of experience writing complex SQL for the purposes of data analysis and discovery

3+ years of experience creating technical analysis including documentation and communication with technical engineers and data customers

3+ years of experience writing stories for software developers

Preferred Qualifications:

Experience analyzing health plan data (Enrollment, Claims, etc.)

Experience developing in Python, Spark framework or some other programming language

Experience working with Databricks

Experience with Transactional and Data Lake data stores

Experience working in highly matrixed, sometimes ambiguous, complex environments with multiple stakeholders

Experience attending and participating in scrum agile ceremonies

Experience identifying process improvements and implementing processes related to data pipeline effectiveness and efficiency

History tracking down stakeholders and subject matter experts to gather requirements and communicate existing state development

Clear, concise communication skills with solid ability to translate technical jargon into business understandings

Careers at UnitedHealthcare Employer & Individual. We all want to make a difference with the work we do. Sometimes we're presented with an opportunity to make a difference on a scale we couldn't imagine. Here, you get that opportunity every day. As a member of one of our elite teams, you'll provide the ideas and solutions that help nearly 25 million customers live healthier lives. You'll help write the next chapter in the history of health care. And you'll find a wealth of open doors and career paths that will take you as far as you want to go. Go further. This is your life's best work.(sm)

Colorado, Connecticut, Nevada, or New York City Residents Only: The salary range for Colorado residents is $82,100 to $146,900. The salary range for Connecticut/Nevada/New York City residents is $90,500 to $161,600. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.

All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment."
Jr. Data Scientist,Net2Aspire,Remote,NaN,EmployerActive 2 days ago,"$65,000 - $80,000 a year", Create data dashboards and other data visualization tools to track progress to inform continuous quality improvement of the Congregate Settings Investigation…,https://www.indeed.com/company/net2aspire/jobs/Junior-Data-Scientist-41ce767aa007133d?fccid=268145626d239938&vjs=3," Apply Statistical and Machine Learning methods to specific business problems and data.
 Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
 Using tools such as Tableau, Looker and GoogleData Studio to aggregate data from across our software tools to build and develop dashboards for both client-facing and internal purposes across the company that feature relevant KPIs and metrics
 Create data dashboards and other data visualization tools to track progress to inform continuous quality improvement of the Congregate Settings Investigation and Response Unit.
 Design, develop, evaluate, and release highly innovative models elevate the customer experience and track impact over time
Job Types: Full-time, Part-time, Contract
Salary: $65,000.00 - $80,000.00 per year
Benefits:
401(k)
Health insurance
Schedule:
8 hour shift
Monday to Friday
Experience:
Data science: 1 year (Required)
Machine learning: 1 year (Required)
Work Location: Remote"
Remote Senior Data Scientist NLP,First American Financial Corporation,"Remote in Santa Ana, CA 92799",3.8,PostedPosted 5 days ago,NaN,"Proactively research, prototype and present ideas to senior management in areas of machine learning, deep learning and computer vision that are directly…",https://www.indeed.com/pagead/clk?mo=r&ad=-6NYlbfkN0D_rOR36Gvk_CJq-cXVMk_EfLL3YILv7-o1rmNyHeomS3LSjiduIbZPUwXCp1KgM8oRV5gJ_qg6R_jpWZRQ5icYhHjSTyMIIy-HiQrbQouSg9Gn9Lq4KFOOCMdDnymunvcTwYH_cifwR-9RnDxGdsLmkmul4p7EQAKzwQ_ftoL-0O3tc2MsQVnYemhF7kVp0eXV4C6wGDX1HHrUo3JStE5uCcDg-_GclTvX8630hpgBgfN-vf2uOfCuFogJNwvQNsaIRRXA6KxOCy3rR2_uoU2aek76NJKVQjpm8aqBPBiX_ShhT93SPIv_iaHL8XKYlvzsW4sEIqayh4KbY1SYAq7z4-CioADhLVYCgX5Ae5b02Y3CSXUpITDVsTDLwUNEG8LdTe9c8YroqjWYw1bT9q-TwvZnPal14yqgK1IC21J6gA==&xkcb=SoB4-_M3WJmDXIWach0LbzkdCdPP&p=8&fvj=0&vjs=3,"Company Summary
Join a team that puts its People First! As a member of First American’s family of companies, Data & Analytics is a national provider of property-centric information, analytics, risk management and valuation solutions. First American maintains and curates the industry’s largest property and ownership dataset with over 7 billion document images. Our major platforms and products include: DataTree®, FraudGuard®, RegsData™, TaxSource™ and ACI®. The First American Data & Analytics division boasts more than 20 patents and remains at the forefront of innovation - leveraging technology and data to deliver best-in-class decisioning solutions. Fueled by our industry-leading data and using our technology and proprietary process, our solutions provide lenders, real estate and title companies with actionable insights - enabling them to make better, increasingly automated, decisions. With offices in all major metropolitan areas, including California and New York, DNA teams work collaboratively from across the country. Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For® list for seven consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit www.careers.firstam.com.
Job Summary
Remote Candidates Welcome!!
We have an exciting role for a Data Scientist to help build and solve some of the most unique, interesting and challenging questions related to Natural language processing (NLP) utilizing a variety of Machine learning and deep learning techniques within Artificial Intelligence. The role will present opportunities to work on large datasets and the ability to use innovative techniques in Artificial Intelligence ranging from various NLP methods, computer vision, and deep learning to enable solutions that will be directly impactful to our customers. The solutions that you will POC, obtain feedback, quickly turnaround, iterate, story tell and integrate the model in a production pipeline will be a key success criterion for this position. You will completely own and manage the solution and collaborate with key product groups to provide innovative ideas and solution that are impactful and add immediate value.
Responsibilities
Use consultative approach to understand business problems and build solutions in an iterative manner.
Works with product teams to identify opportunities for Machine learning Deep learning and computer vision models to enable key success criteria.
Perform end to end activities within the data science life cycle from business problem understanding, exploratory data analysis, feature engineering, model training, model evaluation, visualization and deployment.
Within an NLP problem able to design and implement all components of the solution starting from understanding the data set, document balance, modern tokenization techniques and utilize deep learning models and tune model parameters to achieve optimal model scores.
Utilize Machine learning to identify pattern and anomaly in data sets.
Proactively research, prototype and present ideas to senior management in areas of machine learning, deep learning and computer vision that are directly beneficial and impactful to business use cases.
Participate and mature the data science framework with industry leading tools like Azure ML best practices and community of learning.
Knowledge and Skills/Technology Used
Experience with state-of-the-art techniques within NLP and utilized transformer based models and tokenization schemes for NLP tasks.
NLP project experience using pytorch, tensorflow, FASTai, spacy, huggingface transformers models.
Coding experience with several languages like Java Script, Python,, etc.,
Very good experience of querying databases (SQL)
Typical Education
Bachelor’s degree or equivalent in a related quantitative field such as Mathematics, Statistics or Computer Science
Master’s or PhD degree preferred
Typical Range of Experience
5-7 years of related work experience building predictive and descriptive statistical models
#DNAIT
#LI-CG2
First American invests in its employees' development and well-being, empowers them to provide superior customer service and encourages them to serve the communities where they live and work. First American is committed to diversity and inclusion. We are an equal opportunity employer.
Based on eligibility, First American offers a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits like an employee stock purchase plan."
Data Scientist,Radcube LLC,Remote,NaN,EmployerActive 4 days ago,"$111,648 - $122,984 a year","The role will involve working with Research Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of…",https://www.indeed.com/company/Radcube-LLC/jobs/Data-Scientist-635c45a8d9deb90e?fccid=f51b75d687e40b14&vjs=3,"As a Data Scientist, you will be analyzing a wide range of unstructured data to address problems through attentive listening, astute planning, and out of the box thinking to develop solutions and reporting results in an engaging manner. The role will involve working with Research Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. The ideal candidate for this position will possess ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day today data requests and analysis.
Skill Set – Have 3+ years' experience working with NLP (must to have), text analytics, proficiency in Python/R, and Git. Detailed information about Python and/ or R with the real time experience, instead of few bullet points. Experience in Pharma domain and unstructured text handling is a plus. Experience and knowledge of NLP is a plus Experience and knowledge with different model, expertise and accomplishments. Experience with text parsing/regular expressions (regex), and proficiency in libraries like Pandas, re, sci-kit learn, docx at some level Command of data science principles (regression, Bayes, time series, clustering, P/R, AUROC) Profile – Professional resume with good writeup about their experience and expertise and clear academic information with year and stream. Focus should be on relevant experience and technologies for this job. This would be helpful for evaluation. Machine Learning / Deep Learning Algorithms - Logistic Regression, SVM, Naive Bayes , RNN etc. With detailed information about experience and working knowledge. Text Analytics (Importance of everything in words as given above). Explain what is the real experience, rather mentioning just Test Analytics Sentiment analysis (e.g customer is happy, sad, likes a brand, positive or negative for a service or product and so on using available/ customizable python/R libraries) Sound Knowledge of Python/R. For example; if someone talk about Python or R, they can be explanatory that how did they use Python/ R rather adding few bullet points. Purpose, key highlights, accomplishments etc.. Having some cloud experience would give added advantage.
Must have:
Python, R
Cloud
Data Analytics
Machine Learning, NLP
Text Analytics
Job Types: Full-time, Contract
Pay: $111,648.00 - $122,984.00 per year
Schedule:
8 hour shift
Experience:
Python: 3 years (Required)
Natural language processing: 3 years (Required)
R: 3 years (Preferred)
cloud: 3 years (Required)
Machine learning: 3 years (Preferred)
Text Analytics: 3 years (Preferred)
Data analytics: 3 years (Preferred)
Data visualization: 3 years (Required)
Predictive analytics: 1 year (Preferred)
Deep learning: 1 year (Preferred)
Work Location: Remote"
Remote Data Scientist / Senior Data Scientist,National General Insurance,"Remote in Winston-Salem, NC 27103",2.9,PostedPosted 30+ days ago,NaN,"This includes: data preparation, feature engineering, development and execution of new machine learning predictive modeling algorithms, coding/development of…",https://www.indeed.com/pagead/clk?mo=r&ad=-6NYlbfkN0ABn5GwwiAtE4UwcQ4ofq8PkiZJadrMj-BO0r_6duZ5jQy8rbwjaMOkyPMxbverJemhmtYULmjnA9X7LJ_j80jaoUEZu0Lvt_KGUsAr-tGahwVbM3KXO1kMUOAAO5U_BzU-WOFKSOeJ31KiZXYMhLPjWdiLgIWT1KkIgdn3gCzh-09eMoLUtvX4c1YHNTrnwO0uA99DyMrcJk6CACuYw6ZTVlPBbfRYBm_WvwY4K5MjkWD6zE08pG0QgrhSHW-2pWDitvG8KUk0FWl6nnd9yX0_-IHzcrcBkFut3OW8UZeXPJGpt8whaYUii2Xd-2f6ow4MsQdX1FSoURofYOgU7efLutz9Vtol6Mzo3b6CX2BqYqg_MnVDCrzkesljVkK9yqo27hrUEp2nwrbds-KmKFME_696LSRGeyPKYQ7X5DqF--qmVioPmN5qciP4auZybosKISGewvuBJjXBYiB6OT7QGdetjMu1UcWKFO8l4nMPu0UwZDDr7SsIPSTXJnLo9d_eik1ODZJMtpKr59Nk0CbfXYlk1nBnQQKA_hcXZXMvE9gz3qmqGhcrZ_VP2b4vXiXwieTr_D-yeQ==&xkcb=SoBR-_M3WJmDXIWach0JbzkdCdPP&p=10&fvj=0&vjs=3,"**Remote work available**
Job Summary:
This role is responsible for leading the use of data to make decisions. This includes: data preparation, feature engineering, development and execution of new machine learning predictive modeling algorithms, coding/development of tools that use machine learning/predictive modeling to make business decisions, results delivery and dashboarding, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our business decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also begin to manage projects of medium complexity.
Key Responsibilities:
Uses best practices to develop statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions
Develops a deep understanding of drivers of business performance and monitors operational impact to bottom line results.
Owns and maintain stakeholder relationships to gather requirements, translate requirements into data science workflows and deliver timely, insightful, and actionable recommendations.
Collaborates with Claims Leadership in targeted management of functional areas utilizing existing and new measures of business performances.
Reviews, evaluates and communicates appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. With coaching, develops and executes communication strategy, keeping stakeholders informed and finding opportunities to influence the direction of work.
Collaborates with the team and works on data and business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Understands the business’ problems to identify the optimal modeling approach.
Identifies languages and tools that can bring efficiencies or needed techniques to the team
Utilizes effective project planning techniques to break down moderately complex machine learning/predictive modeling and/or development projects into tasks and ensure deadlines are kept
Supervisory Responsibilities:
This job does not have supervisory responsibilities
Preferred Qualifications:
Education and Experience
Master’s or PhD
3 or more years of related experience
Certificates, Licenses, Registrations
None
Functional Skills
Experience in managing and manipulating large, complex datasets and ability to analyze and interpret moderate to complex concepts
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
Experience working with unstructured data including text, audio, and video
5+ years of experience in writing advanced SQL, NoSQL in multiple syntaxes
5+ years of experience in Python, R, SAS, other relevant programming languages, or analytic packages
Expert knowledge in one or more of the following: statistics, time series analysis, numerical analysis, numerical optimization, machine learning, artificial intelligence, neural networks, NLP, and data science
Experience with business intelligence solutions, automation, cloud computing, data warehousing, data lakes, Azure, AWS, GCP.
National General Holdings Corp. is an Equal Opportunity (EO) employer – Veterans/Disabled and other protected categories. All qualified applicants will receive consideration for employment regardless of any characteristic protected by law. Candidates must possess authorization to work in the United States, as it is not our practice to sponsor individuals for work visas.
In the event you need assistance or accommodation in completing your online application, please contact NGIC main office by phone at (336) 435-2000.

About National General Holdings:
National General Holdings Corp., a member of the Allstate family of companies, is headquartered in New York City. National General traces its roots to 1939, has a financial strength rating of A– (excellent) from A.M. Best, and provides personal and commercial automobile, homeowners, umbrella, recreational vehicle, motorcycle, supplemental health, and other niche insurance products. We are a specialty personal lines insurance holding company. Through our subsidiaries, we provide a variety of insurance products, including personal and commercial automobile, homeowners, umbrella, recreational vehicle, supplemental health, lender-placed and other niche insurance products.
National General is a fast paced, dynamic, and entrepreneurial organization. Our team members live by and exemplify what we call the 4Es. At National General, we are Energized, Engaged, Empowered, and we Execute every day in order to provide an exceptional experience for our customers! We are passionate about our organization and the value that we add every day. A successful candidate with National General will embody the 4Es. Our team is poised to outperform the competition. We are National General Insurance and with us you can be extraordinary! Come join our team!
Companies and Partners
Direct General Auto & Life, Personal Express Insurance, Century-National Insurance, ABC Insurance Agencies, NatGen Preferred, NatGen Premier, Seattle Specialty, National General Lender Services, ARS, RAC Insurance Partners, Mountain Valley Indemnity, New Jersey Skylands, Adirondack Insurance Exchange, VelaPoint, Quotit, HealthCompare, AHCP, NHIC, Healthcare Solutions Team, North Star Marketing, Euro Accident.
In addition to a phenomenal career opportunity, National General Insurance offers an excellent benefits package including:
Paid Training
Medical, Dental, Vision benefits
Wellness Programs
Life and Short/Long Term Disability Insurance
401k w/ Company Match
Company Paid Holidays & Generous Time-off policy
Employee Discount Program
Career Advancement and Development Opportunities
On-site Healthcare Clinic (Winston-Salem and Cleveland offices)
On-site Fitness Center (Cleveland and Dallas offices)
Subsidized parking (Cleveland office)
National General Holdings Corp. is an Equal Opportunity (EO) employer – Veterans/Disabled and other protected categories. All qualified applicants will receive consideration for employment regardless of any characteristic protected by law. Candidates must possess authorization to work in the United States, as it is not our practice to sponsor individuals for work visas.
In the event you need assistance or accommodation in completing your online application, please contact NGIC main office by phone at (336) 435-2000."
Data Scientist,Premier Inc.,Remote,3.8,PostedPosted 4 days ago,"$64,000 - $118,000 a year","You will be a member of a multidisciplinary team of data scientists, engineers, and clinicians tackling complex problems in a data-driven and collaborative way.",https://www.indeed.com/rc/clk?jk=9a82bddb264631d6&fccid=11802080879afc60&vjs=3,"Data Scientist

At Stanson Health (a Premier Inc subsidiary), we are passionate about building products that measurably improve patient care quality, safety, and affordability. Our products positively impact millions of patients by giving providers real-time treatment recommendations or automating time-consuming administrative tasks such as prior authorization. Foundational to all our products is a proprietary AI engine that processes patient information in real-time, leveraging state-of-the-art machine learning at scale.
What will you be doing:
As part of the Data Science team, you will have responsibility for conceptualizing, designing, implementing and deploying new machine learning algorithms into production daily. You will be a member of a multidisciplinary team of data scientists, engineers, and clinicians tackling complex problems in a data-driven and collaborative way. As a fully remote team, we value self-driven, result-oriented individuals mindful of tradeoffs between near-term needs and long-term strategic goals.

What we're looking for:

Required Qualifications
Work Experience:
Years of Applicable Experience - 2 or more years
Skills & Experience:
Airflow, Applied Machine Learning, Cross Functional Projects, Python, Software Development
Education:
Bachelors
In order to comply with applicable legal obligations, Premier requires employees to provide proof of full vaccination against COVID-19. We will consider requests for disability or religious accommodations during the recruiting process as needed. Premier will also observe state laws related to vaccination, as applicable.

PREFERRED QUALIFICATIONS
Two or more years in applied machine learning in fields such as Natural language processing (NLP) or Computer Vision (CV)
Strong preference in Python, model development frameworks such as PyTorch or Tensorflow
Experience with manipulating and analyzing large-scale datasets
Experience working in cross-functional teams
Software Development using source control and versioning
#LI-SD1
#LI-Remote

Premier’s compensation philosophy is to ensure that compensation is reasonable, equitable, and competitive in order to attract and retain talented and highly skilled employees. Premier’s internal salary range for this role is $64,000 - $118,000. Final salary is dependent upon several market factors including, but not limited to, departmental budgets, internal equity, education, unique skills/experience, and geographic location. Premier utilizes a wide-range salary structure to allow base salary flexibility within our ranges.

Employees also receive access to the following benefits:
Health, dental, vision, life and disability insurance
401k retirement program
Paid time off
Participation in Premier’s employee incentive plans
Tuition reimbursement and professional development opportunities
Premier at a glance:
Ranked #1 on Charlotte’s Healthiest Employers list for 2019, 2020 and 2022, and 49th Healthiest Employer in America (2022)
Named one of the World’s Most Ethical Companies® by Ethisphere® Institute for the 13th year in a row
The only company to be recognized by KLAS twice for Overall Healthcare Management Consulting

Employees receive:
Perks and discounts
Access to on-site and online exercise classes
Paid time off to volunteer in their communities

Premier is looking for smart, agile individuals like you to help us transform the healthcare industry. Here you will find critical thinkers who have the freedom to make an impact. Colleagues who share your thirst to learn more and do things better. Teammates committed to improving the health of a nation. See why incredible challenges require incredible people.

Qualified applicants will receive consideration for employment without regard to unlawful discrimination because of their age, race, color, religion, national origin, ancestry, citizenship status, gender, sexual orientation, gender identity, gender expression, marital status, familial status, pregnancy status, genetic information, status as a victim of domestic violence, covered military or protected veteran status, disability, or any other applicable federal, state or local protected class, trait or status or that of persons with whom an applicant associates. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. In addition, as a federal contractor, Premier complies with government regulations, including affirmative action responsibilities, where they apply.

Premier also provides reasonable accommodations to qualified individuals with a disability or those who have a sincerely held religious belief. If you need assistance in the application process, please reply to
diversity_and_accommodations@premierinc.com
or contact Premier Recruiting at 704.816.5200."
Data Scientist,Apolis,Remote,NaN,EmployerActive 2 days ago,$75 - $85 an hour,"\*\*\*Geospatial with machine learning experience*.
\*\*Hands on experience in R / Python.*.
Full in Machine learning or have some mixed up with Geo spatial exp…",https://www.indeed.com/company/Apolis/jobs/Data-Scientist-1658aad0061cbe9e?fccid=f2d754c1007a70ff&vjs=3,"Data Scientist/Machine learning
Corp-corp
Remote
Job summary
***Geospatial with machine learning experience
**Hands on experience in R / Python.
Full in Machine learning or have some mixed up with Geo spatial exp.
Job Types: Full-time, Contract
Salary: $75.00 - $85.00 per hour
Schedule:
Day shift
Monday to Friday
Supplemental pay types:
Signing bonus
Experience:
Python: 1 year (Preferred)
Geo Spatial: 1 year (Required)
Machine learning: 1 year (Required)
Work Location: Remote
Speak with the employer
+91 7322856236"
Jr. Data Scientist (Remote),Risk Solutions,"Remote in Alpharetta, GA 30005",3.9,PostedPosted 11 days ago,NaN,"0-2 years experience with data analytics, modeling development/validation, quantitative reasoning, data science, or similar.",https://www.indeed.com/rc/clk?jk=3f63cf4e763bc812&fccid=06206ab329e0eb22&vjs=3,"This position can be home-based anywhere in the US, but candidates must be able to work Eastern Standard business hours.
As a Junior Data Scientist, you will be responsible for model and attribute validation from development through post-implementation across Insurance Services. This includes the development and maintenance of attribute and score calculations, data filter rules, file transmission requirements, the creation of test plans and technical documentation. You will be responsible for understanding product purpose, drawing appropriate conclusions, and make recommendations for resolution to most issues discovered during the quality review process.
Interfaces with modeling, technology, and product personnel to assure timely and accurate implementation and maintenance of all Insurance attributes and models.
Assists in the development of automated solutions to routine validations in order to gain efficiencies in the validation process.
Follows analytical and programming guidelines, standards, and best practices.
Defines thorough test requirements and objectives.
Conducts data manipulation, reporting, exploratory analysis, or AI/ML techniques in support of developing/supporting new products, and/or validating existing product performance.
Ability to find solutions hidden in large data sets and the ability to work with stakeholders to improve business outcomes.
Manages tasks independently, completes tasks efficiently, and embraces team collaboration for multiple concurrent projects. Able to present their work effort, results, and conclusions in a manner appropriate to the audience's level of understanding and is willing and able to ask for help/work with others as necessary.
Qualifications
Bachelor’s degree in Mathematics, Statistics, Engineering, Economics, Computer Science, or related field.
Master’s Degree Preferred.
0-2 years experience with data analytics, modeling development/validation, quantitative reasoning, data science, or similar.
Knowledge of and desire to learn analytical tools, platforms, and programming languages such as Python, SQL, R, PySpark, MySQL, AWS, Azure, PowerBI, or equivalent.
Experience manipulating and merging multiple large data sets in a distributed computing environment.
Working knowledge of AI/ML methods a plus.
Excellent oral and written communication skills, including the ability to describe statistical results to non-statistical audiences.
Strong attention to detail with a desire to follow a task to completion.
Team player, constructive, and considerate of others’ inputs with the ability to positively influence others, confident speaker even in difficult situations.
Ability to multi-task and efficiently negotiate changing priorities and responsibilities.
Basic understanding of modeling techniques and potential impacts of related assumptions and limitations.
Ability to work Eastern Standard business hours
#LI-CH1
#LI-DNI

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact accommodations@relx.com or if you are based in the US you may also contact us on 1.855.833.5120.
Please read our
Candidate Privacy Policy"
Data Scientist,Underwriters Laboratories Inc.,"Remote in Northbrook, IL 60062",3.6,PostedPosted 2 days ago,NaN,"The Data Scientist will be working with the product, engineering, and ML Ops teams to develop innovative solutions for retail and TIC problems using machine…",https://www.indeed.com/rc/clk?jk=4e86b0576e810902&fccid=353853af3b99ac74&vjs=3,":
At UL, we know why we come to work.:
Thousands of us around the world wake up every day with a common purpose: to make the world a safer, more secure, and sustainable place. Science is in our DNA; we are endlessly curious and passionate about seeking and speaking the truth. We take delight in knowing that our work makes a meaningful contribution to society, and we are proud that our culture is centered on integrity, collaboration, inclusion, and excellence. UL stands at the forefront of technological advancement, and we are continually challenged to find new ways to foster innovation and positive change.

Satisfying? Yes. Exciting? Absolutely!
What you’ll learn & achieve::
The Data Scientist will be working with the product, engineering, and ML Ops teams to develop innovative solutions for retail and TIC problems using machine learning, NLP, deep learning, and statistical methods
Conduct data exploration, analysis, and experiments to establish technical viability of business ideas
Collaborate with ML engineers and QA team to productionize the models
Research state-of-the-art tools and techniques in data science and help integrate them in our development processes
Present all aspects of a data science project to lead technical and non-technical audiences through the goals, methods, and implications of the project
Write research papers, presentations, and patents, where applicable
What makes you a great fit::
University Degree (Equivalent to Bachelor’s degree) in Computer Science, Data Science, statistics, or a related discipline with 1+ years of work experience in data science
Experience using machine learning, deep learning, NLP, and advanced statistical methods to solve business problems
Solid technical knowledge and experience writing and testing Python code in production
Experience with large datasets
Knowledge of SQL
Strong interpersonal skills with the ability to communicate with technical and non-technical internal and stakeholders
Strong sense of ownership and ability to work independently on ambiguous problems
UL has COVID-19 protocols and policies in place to ensure the safety of our employees, customers, and clients. Effective November 1, 2021, the company mandates that employees are vaccinated against COVID-19 as a condition of employment (except where prohibited by law), subject to reasonable accommodation as required by law.
What you’ll experience working at UL::
Mission: For UL, corporate and social responsibility isn’t new. Making the world a safer, more secure, and sustainable place has been our business model for the last 125 years and is deeply engrained in everything we do.

People: Ask any UL employee what they love most about working here, and you’ll almost always hear, “the people.” Going beyond what is possible is the standard at UL. We’re able to deliver the best because we employ the best.

Interesting work: Every day is different for us here as we eagerly anticipate the next innovation that our customers create. We’re inspired to take on the challenge that will transform how people live, work and play. And as a global company, in many roles, you will get international experience working with colleagues around the world.

Grow & achieve: We learn, work, and grow together with targeted development, reward, and recognition programs as well as our very own UL University that offers extensive training programs for employees at all stages, including a technical training track for applicable roles.

Total Rewards: All employees at UL are eligible for bonus compensation. UL offers a generous 401k matching structure of up to 5% of eligible pay. Additionally, we invest an additional 4% into your retirement saving fund after your first year of continuous employment. We provide Healthcare Reimbursement Accounts and Health Savings Accounts that UL contributes to twice per year! Depending on your role, you can work with your manager on flexible working arrangements. We also provide employees with paid time off including vacation, holiday, sick and volunteer time off.
Learn More::
Working at UL is an exciting journey that twists and turns daily. We thrive in the twists and revel in the turns.

This is our every day. This is our normal.

Curious? To learn more about us and the work we do, visit UL.com"
"Staff Data Scientist, Financial Crimes Technology",Cash App,"Remote in San Francisco, CA 94103",5.0,PostedPosted 17 days ago,NaN,"This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on…",https://www.indeed.com/rc/clk?jk=680e6bb18a404c33&fccid=23ddedaf27ad006f&vjs=3,"Company Description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, instantly available and universally accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.

Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.

Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.

Check out our locations, benefits and more at cash.app/careers.

Job Description

The Financial Crimes Technology Data team at Cash App finds and reports financial crimes activity on Cash App. We work globally with partners in Compliance, business, engineering, and product to guarantee we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.
We are leveraging Data Science as an integral part of our toolkit to fulfill our mission. As Cash App scales, we are monitoring billions of dollars in transactions across traditional payment and blockchain networks. We uncover and put an end to money laundering, suspicious, and illegal activities before they impact our users. We are looking for a Staff Data Scientist to join our fast growing team with the goal of identifying impactful problems worth solving, tracking and communicating the team progress to leadership and providing deep dive analytical support to our partners and stakeholders as necessary.
This is an IC role, but the Staff level has additional leadership responsibilities that include envisioning, owning, and driving strategic roadmaps & priorities to completion by collaborating with cross functional stakeholders as well as mentoring & growing junior team members.
You will:
Define, build and track metrics that demonstrate health of the Compliance program
Track the impact of the data team in optimizing Compliance operations
Effectively communicate our work with team leads, cross-functional stakeholders and business leaders on a regular basis
Defining the Risk Based Framework followed by quantifying and tracking our platform risk over time
Modeling the cost to Compliance for new and significant Product Launches to aid in timely operational capacity planning
Implement and automate case volume forecasting to aid the annual and quarterly Operations capacity planning exercise
Own & deliver ad hoc analyses and deep dive investigations for poorly defined, but important business problems that aid in effective decision making
Build deep connections and trust with Compliance Operations, Compliance Analytics and Product teams, particularly the Health Abstraction.

Qualifications

You Have:
6+ years of advanced Analytics/Data Science experience in the technology industry
An MS degree in computer science, data science, operations research, business analytics, stats or a related technical field
Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) as well as experience with common Python DS stack (numpy, pandas, matplotlib, plotnine etc.)
Extremely strong written and verbal communication & presentation skills and an ability to build strong relationships and influence with business & product partners
Mentored and grown Junior Data Analysts and Data Scientists on the team
Have a curious, passionate, growth-oriented mindset

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $184,100 - USD $225,000
Zone B: USD $174,900 - USD $213,700
Zone C: USD $165,700 - USD $202,500
Zone D: USD $156,400 - USD $191,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverage
Retirement Plans including company match
Employee Stock Purchase Program
Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
Paid parental and caregiving leave
Paid time off
Learning and Development resources
Paid Life insurance, AD&D. and disability benefits
Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution."
Data Scientist,N9 it solutions,Remote,NaN,PostedPosted 4 days ago,$40 - $60 an hour,"Experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and…",https://www.indeed.com/company/N9-IT-SOLUTIONS/jobs/Data-Scientist-271445eddcc34290?fccid=55a3baa4e7511cea&vjs=3,"Job Title: - Data Scientist
Position: - W2 Employment ( Should work on our W2 )
Eligible Visa status: -OPT, Day1 CPT, H1B, H1B T, H4 EAD
(Authorized to work anywhere in the USA and for only those who are staying in the USA)
Long term contract
Job description
This role is responsible for leading efforts to develop and deliver complex data solutions to accomplish technology and business goals.
Key responsibilities include code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytics data systems.
They guide stakeholders, Product Owners, and Software Engineers through the design and execution processes.
Provide technical thought leadership based on the significant experience they have built through implementing multiple complex data solutions, and their knowledge of the interaction across multiple data flows and systems.
The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action
Key Responsibilities:
Ensure that the design and engineering approach for complex data solutions is consistent across multiple flows and systems.
Collaborate amongst team members to assist with knowledge gaps and or provide instructional training when needed.
Assist other work groups in application development using python or writing advanced SQL queries when deemed necessary.
Conduct research, designs prototyping and other exploration activities such as evaluating new toolsets.
Utilize multiple architectural components in design and development of client requirements.
Maintain, improve, clean and manipulate data for the operational and/or analytics data systems.
Constantly looking for better ways of solving technical problems and designing the solution without being afraid of challenging the status quo.
Collaborate with development teams to understand data requirements and ensure the data architecture is feasible to implement and subsequently implemented accurately.
Assemble large, complex data sets that meet functional/ nonfunctional requirements.
Build processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management.
Define and build data pipelines that enable faster, better, data informed decision making within the business.
Contribute to existing test suites (integration, regression, performance), analyze test reports, identify any test issues/errors, and triage the underlying cause.
Document and communicate required information for deployment, maintenance, support, and business functionality.
Adhere to team delivery/release process and cadence pertaining to code deployment and release
Identify gaps in data management standards adherence and work with appropriate partners to develop plans to close gaps.
Lead concept and experimentation testing and synthesize the results to validate and improve analytical solution.
Experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
They must have a proven ability to drive business results with their data-based insights
The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Qualifications for Data Scientist:
Problem solving skills with an emphasis on product development.
Experience using statistical computer languages (Python, SQL, hive, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
5-7 years of experience manipulating data sets and building statistical models, Mathematics, Computer Science or another quantitative field
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience with distributed data/computing tools: Hadoop, Hive, MySQL, etc.
Benefits: -
Competitive salary
Flexible work schedule & part-time off
E-verified
H1B and GC filling
On job technical support
Skill Enhancement
Guesthouse facilities are also available
Opportunity to work with Fortune 500 Companies
Job Type: Full-time
Salary: $40.00 - $60.00 per hour
Schedule:
8 hour shift
Experience:
Python: 1 year (Preferred)
SQL: 1 year (Preferred)
Work Location: Remote
Speak with the employer
+91"
Software Engineer - Machine Learning (Remote),Home Depot / THD,"Remote in Atlanta, GA 30301",3.7,PostedPosted 15 days ago,"$130,000 a year","The Software Engineer will play a key role connecting with the customer, learning their business and processes, gathering and understanding requirements,…",https://www.indeed.com/rc/clk?jk=4797ec9d39276ef7&fccid=82e58e9861d48566&vjs=3,"Position Purpose:
The Software Engineer will focus on developing Business Intelligence reporting to create visualizations highlighting the successes, metrics, and processes for projects, programs, and ongoing initiatives. These reports may cover, but are not limited to, performance metrics, KPI metrics, contact center metrics, as well as ITIL Service Management reporting. The Software Engineer will play a key role connecting with the customer, learning their business and processes, gathering and understanding requirements, setting up and maintaining data pipeline jobs as necessary, writing code to aggregate, combine, and/or transform data, building visualizations, making certain the report meets and continues to meet customer needs, as well as anticipating new and future needs. Additionally, the Software Engineer will research new Business Intelligence technologies and contribute to continuous service improvement.
Key Responsibilities:
60% Delivers and Executes - Assists in developing, testing, deploying, and maintaining software; Follows best practices established by the organization and participates in improvement conversations; Consistently helps the team achieve results, even under tough circumstances
20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels
20% Plans and Aligns - Builds partnerships and works collaboratively with others to meet shared objectives; Collaborates with other team members in agile processes; Relates openly and comfortably with diverse groups of people
Direct Manager/Direct Reports:
This position typically reports to Software Engineer Manager or Sr. Manager
This position has 0 Direct Reports
Travel Requirements:
No travel required.
Physical Requirements:
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions:
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
Preferred Qualifications:
Proficiency with SQL (Microsoft T-SQL and Microsoft SQL Server Preferred)
Experience in standard Business Intelligence Platform (Tableau preferred)
Knowledge of Contact & ITIL Service Management metrics preferred
Exposure in iterative delivery working in a fast pace, professional team enviornment
Exposure to Machine Learning
Minimum Education:
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Preferred Education:
No additional education
Minimum Years of Work Experience:
1
Preferred Years of Work Experience:
No additional years of experience
Minimum Leadership Experience:
None
Preferred Leadership Experience:
None
Certifications:
None
Competencies:
Global Perspective
Manages Ambiguity
Nimble Learning
Self-Development
Collaborates
Cultivates Innovation
Situational Adaptability
Communicates Effectively
Drives Results
Interpersonal Savvy"
"Data Scientist, Product",Clubhouse,Remote,4.2,PostedPosted 30+ days ago,"$171,000 - $215,000 a year","In this role, you will play a key part in defining the data culture within Clubhouse and ensure that we have principled, data-driven decision-making processes.",https://www.indeed.com/rc/clk?jk=333367d0f62ebf4d&fccid=bdae4b7212be0405&vjs=3,"Clubhouse is a place where you can hang out with friends, meet new ones, and talk about anything in real-time. It’s like an always-on dinner party. We believe that good friendships are the foundation of everything, and we built Clubhouse to make it easier to fill your life with them.

We launched in 2020 and have grown quickly in the time since. Each day, millions of people are now exploring the hallways of Clubhouse, creating rooms about every topic imaginable.

We take pride in being a small and productive team, with a relentless focus on our product and the community. As a company we are well funded, with backing from a16z and dozens of the best angel investors in the world, providing us with years of runway. We love what we do and have a lot of work ahead of us. So if you’re a talented builder, come join the club!

The Role

As a Product Data Scientist, you will work closely with our product and engineering teams to formulate and answer key questions about our product. You will play a central role in collecting, modeling, and analyzing data, and will drive meaningful changes to our product and user experiences based on your findings.

In this role, you will report to our Head of Data Science. We are a remote friendly-company — with our headquarters in San Francisco and a strong commitment to ensuring people can do great work here and thrive without having to live near an office. This role is open to candidates across the U.S.

Who you are

You are curious, inquisitive, and enjoy solving ambiguous, open-ended problems. You are able to identify high impact problem areas with little direction. You have a healthy skepticism about data and know when to dig deeper into a problem.

You have the technical skills to work independently. You are comfortable with advanced modeling and statistical techniques and are highly fluent in SQL and Python. You have deep experience with experiment design and analysis. You have experience as a data scientist at a fast growing company and have a proven record of impact.

You are a strong communicator and are able to explain complex concepts to a wide audience. You are adept at crafting clear and impactful data visualizations.

You are meticulous and forthright. You are experienced with finding clear answers despite messy data sets, and are able to catch data issues as they arise.

You bias towards action. You like to build and ship - favoring practical choices, speed and a respect for sequencing. You focus on the things that matter and push back on things that don’t. You make deadlines for yourself and you move fast.

You’re scrappy and entrepreneurial. You thrive in fast-paced environments and are comfortable with not knowing the answer to something. You are willing to roll up your sleeves no matter what the challenge is.

You take pride in what you do. You care deeply about your work. You read through details and think about every bit of the user experience. If something seems off, you come up with a good solution and fix it without being asked to do so. You’re proactive with suggestions and people know they can count on you to get things done.

You enjoy your work. You love what you do, not because you feel you have to, but because you’re so excited to create something big for the world. Your favorite thing to do is to take on a huge challenge and pull it off.

You care about doing the right thing. You value diversity and go out of your way to ensure others feel welcome. You enjoy hanging out with your teammates, have a low-ego, and make the workplace more fun for everyone.

What you will do

In this role, you will play a key part in defining the data culture within Clubhouse and ensure that we have principled, data-driven decision-making processes. As part of the early data team, you will work on numerous zero-to-one projects and will have a direct impact on our product direction. You’ll have the opportunity to work alongside our product and engineering teams on high-profile feature launches that affect millions of people.

There are numerous complex product questions that we would look to a data partner to help the team untangle. On a given day, you may be performing and sharing complex analyses that inform a wide variety of decisions. Or you may be playing a hands-on role in new feature launches, ensuring that we understand the impact of policy changes on users and can identify potential issues early in the process. You will have the opportunity to do foundational analysis on important, unsolved questions across a wide range of problem spaces.

You’ll grow and improve rapidly. At Clubhouse you’ll be working with an incredible team, who love to learn from and teach each other. You’ll find yourself stretching to new areas, immersed in feedback, challenged by your teammates, and growing your skills on a daily basis.

You’ll shape the product strategy. You will get to use your own product (and talk with others while they are using it) every day, and have significant input into its development. Your ideas will always be heard. Your work will vary over time and will cover a variety of areas. On a given day, you may be launching a new way of ranking support tickets, analyzing trends in different types of user behavior, or finding ways to proactively identify content in violation of our policies.

You’ll be an owner. We believe in hiring people and giving them as much responsibility as they can handle.

You’ll create something meaningful. Social products allow people to connect in ways that were never before possible. When the telephone was invented, it suddenly allowed people to speak with others across the world. Thanks to FaceTime, grandparents everywhere can now watch their grandchildren grow up. At Clubhouse, you’ll be figuring out something entirely new for the world—a positive product that brings people’s voices together for deep and meaningful conversations, creates new relationships, builds empathy across cultures, entertains people, and helps people develop ideas that change the course of their lives.
This position is fully remote, and includes competitive base pay, a comprehensive health benefits package, company equity, 401k, plus additional benefits and stipends. The salary for this position is between $171,000 and $215,000. It may vary based on the applicant’s level of experience, education, specialized knowledge, skills, and the market rate for similar positions. The salary range is subject to change and may be modified in the future.

As an early team member at Clubhouse you will be a critical voice and have significant influence over the direction of the company. We will compensate you well, invest deeply in your development, and ensure this is the single best work experience of your life.

Our users come from all walks of life, and so do we. We hire great people from a wide variety of backgrounds. Our company is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics.

We are also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruiting_accomodations@clubhouse.com."
Data Scientist,Dworo.io,"Remote in Phoenix, AZ",NaN,Hiring ongoing,"$90,000 - $99,000 a year","Present information using data visualization techniques.
We want to see a passion for machine-learning and research.
Combine models through ensemble modeling.",https://www.indeed.com/company/Dworo.io/jobs/Data-Scientist-f5fa004535e59042?fccid=c6d5b82b9a2c6169&vjs=3,"We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.
Visa sponsorship available if required,
Training available if required
Remote Jobs available
Candidate must be eligible for visa filling
Responsibilities
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Skills
Proven experience as a Data Scientist or Data Analyst
Understanding of machine-learning and operations research
Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
Strong math skills (e.g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
Job Type: Full-time
Salary: $90,000.00 - $99,000.00 per year
Schedule:
Monday to Friday
Work Location: Remote"
Data Scientist,Agama Solutions,"Remote in San Francisco Bay Area, CA",3.8,PostedPosted 30+ days ago,$75 an hour,"Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with…",https://www.indeed.com/rc/clk?jk=8ab41096cb3c3264&fccid=db130263a2af3230&vjs=3,"Position Title: Data Scientist
Location: Bay Area –CA (100% Remote)
Duration: 12+ months
Rate $75/hr on W2
Vendor Gspann
Client Kohl

Job Description:

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our products
Partner with teams to solve problems and identify trends and opportunities
Inform, influence, support, and execute our product decisions and product launches
Forecasting and goaling, designing and evaluating experiments, building and analyzing dashboards and reports, and evaluating and defining metrics
Conduct exploratory analysis including proposing roadmap items, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis
Manage product leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results
Complete Data Infrastructure activities including Hadoop and Hive, MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL
Possess knowledge of statistics including hypothesis testing and regression

Basic Qualifications:
Minimum 2 years' experience in Python
Minimum 2 years' experience in SQL
Minimum 2 years' experience in Hadoop
High School Diploma/GED
Thanks & Regards,
Javed A
Javed.ahmad@agamasolutions.com | [http://www.agamasolutions.com|/][http://www.agamasolutions.com|]www.agamasolutions.com| www.agilocity.ca
Desk: 510-556-0906* 1011
Direct: 925 369 8086"
"Staff Data Scientist - Search, Inference",Airbnb,"Remote in San Francisco, CA 94103",4.3,PostedPosted 15 days ago,"$180,000 - $245,000 a year","Experience with technical mentorship of other data scientists.
You will join a team with 3 other data scientists, responsible for building the data products,…",https://www.indeed.com/rc/clk?jk=4c0d9395ce3542ca&fccid=95a08f6a451ba57f&vjs=3,"Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
Airbnb is one of the world's largest marketplaces for unique, authentic places to stay and things to do, offering over 7 million accommodations and 40,000 handcrafted activities, all powered by local hosts. An economic empowerment engine, Airbnb has helped millions of hospitality entrepreneurs monetize their spaces and their passions while keeping the financial benefits of tourism in their own communities. With more than half a billion guest arrivals to date, and accessible in 62 languages across 220 countries and regions, Airbnb promotes people-to-people connection, community and trust around the world.
About the Team:
Airbnb is a global platform that connects travelers and hosts from over 81,000 cities. Our mission is to enable a world where anyone can belong anywhere. Using data to help ensure a world class experience for our users is critical to our mission.
We are looking for talented Data Scientists to join our Search & Personalization Data Science team. The team works on building a world class search experience for our guests, from the homepage, to search and listing pages, and checkout. You will join a team with 3 other data scientists, responsible for building the data products, inference frameworks, and intelligence to create a personalized search experience.
Responsibilities:
You will work centrally, with other data scientists, partnering cross-functionally across the search experience. Your initial focus areas in the team:
Developing a framework for evaluating the performance of supply categories in search and partnering with product, marketing, engineering and operations to create new categories.
Operationalizing a system to detect suboptimal user paths in the product leveraging user behavioral logs.
Developing a framework of conversion drivers, connecting input metrics to outputs, to inform strategies, decision-making, and track progress on team goals.
Providing technical mentorship to other data scientists, holding a high bar for data products architecture.
Minimum Qualifications:
5+ years of relevant industry experience
Expert in at least one programming language for data analysis (Python or R)
Experience with inference and machine learning techniques
Experience in high-dimensional data modeling
Proven ability to succeed in both collaborative and independent work environments
Passion for scaling data science work
Preferred Qualifications:
Experience working on a consumer search product or recommender systems
Experience with causal inference and structural models
Strong skills in SQL and distributed system optimization (e.g. Hadoop, Hive, Spark, Presto)
Experience with an ETL framework like Airflow
Python skills preferred
Experience with technical mentorship of other data scientists
Experience with prototyping and writing production code
Experience with system design
The starting base pay for this role is between $180,000 and $245,000. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.


Belonging & Accommodations
Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at: reasonableaccommodations@airbnb.com."
Associate Data Scientist,Performance Predictions LLC,"Remote in Atlanta, GA 30305",NaN,PostedPosted 30+ days ago,NaN,"You will be working closely with other data scientists, reporting analysts, and cross departmental directors to test business flows, make business…",https://www.indeed.com/rc/clk?jk=4e0a3ced268b9b96&fccid=a7c10c1fbc2799fb&vjs=3,"About Us:
PrizePicks is the largest independently owned Daily Fantasy Sports (DFS) platform in North America. Centered around real-money more/less predictions, PrizePicks allows sports fans to play against the numbers rather than each other, and it is the simplest variety of daily fantasy sports with the widest breadth of sports coverage of any DFS operator. Boasting partnerships to date with the Atlanta Falcons, Atlanta Braves, and Miami Marlins, as well as Ghost Gaming, PrizePicks is currently the closest legal alternative to legal mobile sports betting in the majority of the United States. With an existing digital footprint covering more than 70 percent of the U.S. population, PrizePicks is the most accessible type of game for the masses. The company is headquartered in Atlanta, remote is an option for the immediacy of this position.
If you would like to view our product, it can be found on the App Store and Google Play, as well as on the web at prizepicks.com.


Job Description:
The Analytics Team is responsible for building and maintaining analytics tools and workflows to support the PrizePicks business across all departments - at the core of these operations is data and the insights driven from that data. PrizePicks is looking for a Data Scientist with 1-2 years of experience to join our Data Science team. You will be working closely with other data scientists, reporting analysts, and cross departmental directors to test business flows, make business recommendations, and provide novel business insights to leadership focused on driving revenue growth, optimizing marketing efficiency and optimizing retention efforts.
Key Responsibilities:
Data cleaning operations, wrangling and visualizations.
Develop custom data models and algorithms to apply to data sets.
Selecting features, building and optimizing classifiers using machine learning techniques.
Develop processes and tools to monitor and analyze model performance and data accuracy.


Qualifications:
1-2 years of experience
Advanced knowledge of machine learning, data analysis and statistical modeling
Proficiency in statistics and statistical software applications, such as Python or R
Experience working with relational databases such as PostgreSQL
Data visualization and report building experience using Tableau is a plus
Exceptional analytical and problem solving skills


How You’ll Ramp:
30 Days:
Comfortable with the data science tech stack & common business use cases
60 Days:
Driving internal conversations on current projects and working with the DS team to optimize existing forecasting infrastructure
90 Days:
Able to take unstructured stakeholder forecasting requests and define, scope and execute on them


Want to Learn More?
PrizePicks agrees DFS partnership with Atlanta Falcons (SBC Americas)
PrizePicks Continues to Post Record Months to Begin 2021, Expands Leadership Team With an Eye Toward Category Growth (Yahoo Finance)
PrizePicks Stacks Its Chips for the Future, Closes Round of Strategic Investors (AP News)
CSL Esports joins forces with PrizePicks (Esports Insider)


Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. PrizePicks reserves the right to change duties, responsibilities and activities at any time with or without notice. PrizePicks is an equal opportunity employer.
#LI-remote"
Data Scientist,Unilever,Remote,4.2,PostedPosted 30+ days ago,NaN,"They must have strong background in statistical modelling and machine learning methods; have experience using a variety of data mining/data analysis methods,…",https://www.indeed.com/rc/clk?jk=58e3873a8907e373&fccid=37e886222e0cbb3a&vjs=3,"Data Scientist
Unilever is a leading multi-national “Fast Moving Consumer Goods” company, with world leading brands such as Lipton, Dove, Axe, Omo, Knorr, and Hellmans. Unilever has extensive R&D facilities around the globe with a mission to build brands through world-class innovation by unlocking science and technology. To meet the sustainable business growth challenge of the next decade, Unilever R&D aims to transform its approach to scientific discovery and product development, through a Digital Transformation program. The Digital R&D team is leading this transformation of R&D through programs in Big Data Analytics, Predictive modeling and Product Life Cycle Management with a view to driving speed, efficiency and connectivity of R&D. The Modelling & Analytics team provides leading edge statistics, data science, data management, modelling and simulation expertise to deliver predictive models and advanced analytics for new insights to the category programs across all R&D functions. The focus of the M&A, Consumer & Biology team is in the design and planning of experiments, analyses of data, building and validating predictive models and interpretation and exploitation of outcomes together with the project team in the domain areas of consumer insights and life-sciences research. The products and brands we support are across Unilever’s 5 Business groups – Beauty & Wellbeing, Personal Care, Home Care, Nutrition & Ice Cream.
We are looking for a Data Scientist who will support our Modelling & Analytics teams in R&D with insights gained from analyzing data to accelerate product innovation. The ideal candidate is adept at combining and analyzing large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong background in statistical modelling and machine learning methods; have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Job Responsibilities:
Engage and collaborate with globally deployed, multi-disciplinary teams to design and implement efficient, well-focused, statistically appropriate studies, analyses, and visualizations. and interpret data, build and validate predictive models and simulations
Build, deploy, and monitor machine learning models for prediction and optimization
Work in inter-disciplinary teams that will include product formulators, process/packaging engineers, clinicians, measurement scientists, bio-informaticians, claim experts, and other data scientists, both internal to Unilever and external partners.
Serve as a data science/statistics expert across a range of R&D disciplines to define and execute analytics and modelling approaches
Take ownership of the quality and defensibility of statistical analyses, models, and interpretation.
Education
The candidate should have a bachelor’s degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. A master’s degree in the same is strongly preferred. Experience in FMCG/Retail/Pharmaceutical industries is a plus.
Technical Skills:
Strong technical background in multivariate statistical methods e.g. regression, PCA, Design of Experiments, and Monte Carlo simulations. Knowledge of Bayesian methods is a plus.
Good understanding of the underlying principles/best practices to build and validate predictive models.
Experience applying machine learning techniques to tabular datasets (e.g. ElasticNet, random forests, GBM, XGBoost) in an internship or project setting.
At least one year of experience programming in Python, R, or Julia.
Familiarity with natural language processing techniques (e.g. TF-IDF, word vectorization, RNNs, transformers, etc.).
Understanding of evaluation and explanation techniques in machine learning, e.g. overfitting, bias, cross validation, LIME, SHAP, etc.
Ability to write and debug SQL queries. Familiarity with NoSQL databases (esp. MongoDB and Neo4j) is a plus.
Experience with developing data science web applications (e.g. Dash, Streamlit, R Shiny, Django) is a plus.
Exposure to cloud computing platforms (Azure, AWS, GCP) is a plus.
Soft Skills:
Strong problem-solving skills with a focus on business delivery
Strong oral and written communication skills
Ability to collaborate and consult effectively in global teams across time-zones and cultures
Curiosity and interest in learning and mastering new technologies and techniques
Ability to work with uncertainty and to create and manage change

-
Unilever is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.For more information, please see
Equal Employment Opportunity Posters


Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check.

If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at
NA.Accommodations@unilever.com
. Please note: This email is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses.
#LI-Remote"
Data Scientist,TVision,"Remote in Boston, MA 02109",NaN,PostedPosted 23 days ago,NaN,"Your choice of comprehensive health benefits for you and your family (health, dental, vision).
Knowledge and experience in data science tenets such as feature…",https://www.indeed.com/rc/clk?jk=6516da9c2bd81b6f&fccid=bf472f21b2e19641&vjs=3,"The Company
TVision measures who watches TV and how much attention they pay at the person-level to linear and streaming video. Marketers at some of the world's largest brands, and premiere Media Sellers and Data Partners leverage TVision's metrics to make more effective media decisions.
Utilizing cutting-edge technology, TVision goes beyond traditional TV data to include the measurement of presence in the room, co-viewing, and attention, thereby producing best-in-class TV data. This provides critical data to inform the decision-making of the $100B/year TV/Video industry.
TVision's growth and innovation has been recognized by The New York Times, Advertising Age, AdWeek, Business Insider, MediaPost, and Forbes. Business Insider named them one of the top companies to watch in advertising technology for 2019.
After 6 years of hard work, TVision has cutting-edge technology, a differentiated product, a loyal customer base, and a robust panel of households across the US. TVision just closed its Series B round led by Susquehanna International Group (lead investor of Bytedance) and is ready to invest in its industry leading products and grow revenue rapidly.
Data Science is core to what TVision does, and our projects have high visibility in directly impacting the results of our business and our clients. In this role, you will be contributing to the development of our analytics-focused products and guide the evolution of the TV measurement industry. Your efforts will impact our methodologies, our data and the way it is delivered and ultimately used across the industry to make TV advertising better for brands and consumers alike.
The Role
Support the innovation and incubation of data products (models and algorithms) from our ACR and Computer Vision data
Work closely with Panel Operations to monitor and improve our viewer panel through analytics
Work closely with engineering resources to bring proof of concept solutions to market
Apply data-driven solutions to improve the accuracy and stability of processed data
Use Data Science techniques to extract insights and predict / forecast future performance
Collaborate with business team (Sales, Marketing, Panel Operations, Engineering) to solve high impact problems
The Candidate
BS in Data Science, Applied Mathematics, Engineering, Computer Science or another relevant quantitative field
Open to recent graduates or 1-2 years experience
Knowledge and experience performing statistical analysis
Knowledge and experience in probabilistic modeling
Knowledge and experience in data science tenets such as feature selection and machine learning
Familiarity with relational databases (SQL)
Familiarity with Python
Strong problem-solver and analysis skills
Must be able to quickly understand technical and business requirements and can translate them into technical solutions
Ability to work independently
Familiarity and/or interest in the advertising / media industry a plus
You are a deep thinker, live to create hypotheses, solve problems, create solutions, and will have a powerful voice in driving company growth.
Benefits
Competitive pay and stock options
Your choice of comprehensive health benefits for you and your family (health, dental, vision)
Short and long-term disability, Life and AD&D insurance
FSA/HSA accounts
401(k) retirement plan options
Pre-tax commuter benefits
Monthly phone reimbursement
Unlimited PTO and paid holidays
Gym membership discounts
Financial support for ongoing professional development"
Data Scientist,PerfectRec,"Remote in Seattle, WA",NaN,PostedPosted 30+ days ago,"$130,000 - $300,000 a year","Exploratory data analysis and data visualization.
Solve technical problems across the stack and contribute to all parts of our code base, including creation of…",https://www.indeed.com/rc/clk?jk=22409aeaca7a375b&fccid=dd616958bd9ddc12&vjs=3,"About PerfectRec
PerfectRec is a machine-learning powered decision engine focused on helping people find good, personalized recommendations without exhaustive research. We are starting with electronics, then other products such as cars and clothing, but ultimately we'll expand into other, more complicated decisions such as where to live or work. (Since you're reading this, our non-ML based recommendation is that you really consider working here.)

We are starting with smartphones, laptops and other consumer electronics since there is an immediate and growing need for reliable recommendations for these products. Spammy search results, fake reviews, and paid affiliate sites make it nearly impossible to get an honest and relevant product recommendation. Finding the right item to meet your unique needs is tricky. And making the wrong choice based on bad information is a frustrating waste of time and money. We hope to attract billions of users, collectively save them billions and billions of hours on their product searches, and provide a similar amount of value by guiding our users to the right products for themselves.
We're solving the problem by combining actual human subject-area experts with machine learning to help everyone — regardless of their expertise — find their perfect product, quickly. To do that, we guide users through a series of questions about what they're looking for. After each answer, we share updated recommendations and encourage answering more questions to further improve our recommendations. Ultimately, we will get more information about a user's specific needs from a few quick multiple-choice questions than Amazon or Google can deduce from a search query and their past browsing data. This will enable us to make better recommendations tailored to each user's unique needs.
A Small Team Where You Can Have A Big Impact
PerfectRec is a small, early-stage startup where you can have a big impact. Our founding team has experience building successful startups and working at big organizations, like Google, Amazon, Twitch and UC Berkeley. We are growing fast, and looking for people who are excited to build a new product where they can have a big impact.
Founder Led, Founder Funded
Our CEO Joe Golden bootstrapped his first startup, Collage.com, to ~$100m in revenue and a successful exit in March 2021. He's using some of the proceeds from that sale to launch PerfectRec and give us a long runway of at least 3 years to build a great team and outstanding decision-engine.
Working At PerfectRec
We are an all-remote company, so we don't care where you live as long as you work well in a fast-paced, collaborative remote environment.
PerfectRec is an Equal Opportunity Employer. We are committed to finding the best candidates for every role and giving them the tools and guidance they need to succeed. Our all-remote structure enables us to recruit anywhere in the world, so our talent pool isn't limited to a few big cities, and our asynchronous structure allows our team to work when it's best for them. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Learn more about how we work and our differentiating values.
What You'll Bring
Strong sense of ownership. Ownership is taking responsibility for the outcomes of a task or project. You'll relish these ownership opportunities and ensure that tasks, projects, or the team are making positive forward progress.
Clear and concise communication. Building software is a team sport that relies heavily on great communication. You'll be responsible for clear, thoughtful, and concise written and verbal communication. This includes the ability to give and receive feedback with empathy and understanding whether in a code review or a 1:1.
Willingness to teach and learn. We're always evolving with new tools and practices. You'll be willing to jump in and learn unfamiliar technologies while also bringing others along with you. Mentorship and helping others learn are important parts of achieving this.
Creative problem solving. Creating a decision engine that can make recommendations across wide ranging domains is hard, and the potential data sources are limitless. You'll be able to evaluate and explore existing sets of data, suggest new sources of data, and be able to build models that learn from this data in novel ways.
Balance of perfection and pragmatism. Software has a lot of trade-offs and ways to solve problems. You'll be able to recognize and balance the trade-offs between long-term system health and bringing value to customers faster. Your tooling choices will reflect ability to solve the problem the best way and not just the latest and greatest.
What You'll Do
Create and explore datasets for powering recommendations, working closely with domain experts.
Prototype models for making recommendations in new domains.
Identify ways to evaluate and compare competing models.
Add new capabilities that are shared between models in different categories.
Solve technical problems across the stack and contribute to all parts of our code base, including creation of our internal machine learning library.
Share your expertise and experience to grow with the team.
Collaborate with product, design, and engineers to understand customer needs, design solutions, and prototype, launch, and iterate.
Build a product that is genuinely loved by users and respects their time.
Relevant Experience
We believe that everybody has the ability to learn and grow. So, relevant doesn't mean required or that you need everything on the list (this isn't a Pokédex). If you've used other tools, languages, and frameworks that are similar to what is listed, please apply! We only list specific tools so that you know the tech stack you're walking into.
Python or R.
Exploratory data analysis and data visualization.
Classical machine learning techniques like classification, regression, regularization, and cross-validation.
sklearn, Keras (or other deep learning frameworks like Tensorflow and PyTorch).
Recommender systems, including learning-to-rank.
SQL.
Technical writing.
Salary & Benefits
We believe in offering generous compensation and benefits tailored to our all-remote workplace. We pay well because we want to work with highly motivated people that will help make the company successful.
Pay Range and Level of Role
$130,000 - $300,000 salary and stock options which vest over 4 years. We are hiring data scientists with different levels of experience. Compensation is based on background and experience.
Benefits
100% remote and no cost-of-living pay cuts. We want you to work where you work best and we are not going to ""adjust"" your pay if you move somewhere with a lower cost of living.
We pay 100% of your and your dependents' healthcare premium in a high-quality, national PPO plan for US-based employees. For international employees, we will work with you if you're not covered by your national health plan.
We will buy the office equipment you need to succeed. Lots of companies are miserly about equipment. We are not going to do that because your time is valuable.
401k with generous matching. Once we have 20 employees, we'll set up a 401k program with generous matching.
Generous PTO. We trust everyone to take time off appropriately for themselves. We're pro-regular vacations - not taking regular breaks isn't good for individuals or the team. Once we have 20 employees, we will establish a more formal PTO policy.
Worry-free sick days. If you're sick, take the time off to get well. Just let your manager know as soon as practicable.
Free products that we're reviewing. We are becoming product experts together, and we will send you cool stuff like monitors and TVs as we add new recommendation lines. (Unfortunately, we probably won't be able to do this for cars.)"
"Statistician and Data Scientist, Junior",Booz Allen Hamilton,"Remote in Patuxent River, MD",3.9,PostedPosted 2 days ago,NaN,"As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT,…",https://www.indeed.com/rc/clk?jk=24f67803c0701ba2&fccid=4e041af1d0af1bc8&vjs=3,"The Opportunity:
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data.
On our team, you’ll use your analytical skills to help create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll work with and learn from your teammates as you develop algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Work with us as we use data science for good.
Join us. The world can’t wait.
You Have:
Experience with designing, modifying, developing, writing, and implementing software programming applications using agile methods
Experience with administration of continuous integration and continuous deployment (CI/CD) pipelines using Jenkins or GitHub actions
Experience with Python, R, or Julia
Knowledge of Reliability, Availability, Maintainability and Safety (RAMS) analysis
Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
Knowledge of object-oriented design principles and design patterns (GoF)
Bachelor’s degree
Nice If You Have:
Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
Experience developing statistical and simulation models
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Master’s degree
Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full time and part time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs, individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.
Salary for this position is determined by various factors, including but not limited to, location, the candidate’s particular combination of knowledge, skills, competencies and experience, as well as contract specific affordability and organizational requirements. The proposed salary range for this position is outlined below.
Colorado: $54,700 - $101,800 (annualized USD)
New York (including New York City): $57,900 - $123,300 (annualized USD)
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
TECHEX1"
Water Resources Data Scientist - Snow Hydrology,Lynker Corporation,Remote,NaN,PostedPosted 1 day ago,NaN,This work will include tapping into big data insights by collaborating with other data scientists — individuals with interdisciplinary backgrounds that include…,https://www.indeed.com/rc/clk?jk=acb88de900421828&fccid=15c1c74efa36f3ce&vjs=3,"Description:
Lynker is seeking a talented Water Resources Data Scientist with Snow Hydrology experience to support activities focused on National Water Model (NWM) development. Technological advances are driving exponential growth in data. Extracting meaningful information quickly from the modern day deluge of hydrologic and related data is a requirement for the success of the NWM.
The Water Resources Data Scientist selected will focus on developing techniques to generate decision ready data and predicting future outcomes from environmental or operational data. This work will include tapping into big data insights by collaborating with other data scientists — individuals with interdisciplinary backgrounds that include GIS, Science, data analysis, statistics, data visualization, computer science, and mathematics.
At the NWC, hydrologic data science is focused on modeling: combining theory-based models with powerful predictive tools (e.g., deep learning); Data pipelines: Building efficiencies through reproducible and collaborative data workflows; Data visualizations: Sharing insights with innovative and thoughtful visualizations.
The position will also support other projects outside of OWP/NWM support.
Requirements:
The Ideal Water Resources Data Scientist with Snow Hydrology experience will have the Following:
Proficiency with at least one scripting language, including: C++, C, Fortran, or Python
Familiarity with large-scale models, such as NOAH-MP, VIC, or PRMS
Experience with modular hydrologic models (e.g., SUMMA) and model integration frameworks (e.g., BMI)
Solid math, science or engineering background to understand, interpret, and apply techniques to calibrate and validate hydrologic models
Familiarity with cold season processes including precipitation phase partitioning, snow accumulation and melt, and the snowpack energy balance
Experience running snow models or hydrologic models in cold regions
Ability to modify snow or hydrologic models to improve simulated output
Understanding of data-driven models and how they can be applied to cold regions
Expert knowledge and understanding of hydrologic processes and modeling representations thereof
Understanding of GitHub and collaborative workflows
Strong geospatial skills, including the processing and analysis of gridded datasets
About Lynker
Lynker is a growing small business specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.
We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers’ scientific and technical priorities – creatively and effectively.
Lynker offers a team-oriented work environment, competitive salaries and benefits, and the opportunity to work in a culture of exceptionally skilled and diverse professionals who embrace sound science and creative solutions.
Lynker is an E-Verify employer.
Lynker Technologies is proud to be an Equal Opportunity Employer and encourages women, minorities, individuals with disabilities and veterans to apply."
Data Scientist or Statistician,UT Southwestern Medical Center,Remote,3.8,PostedJust posted,"$67,000 - $120,000 a year","For data scientists, the projects include assembling and statistical analyses of big clinical data, and application of machine learning and deep learning…",https://www.indeed.com/company/UT-Southwestern-Medical-Center/jobs/Data-Scientist-or-Statistician-5d1f0b5a93bfacd4?fccid=245cecf5f0560d8c&vjs=3,"Center Information:
The Quantitative Biomedical Research Center (QBRC) is a well-established research center at UT Southwestern Medical Center (UTSW). It aims to foster collaborations involving quantitative methods and technologies in any aspect of biomedical research, particularly for understanding disease etiologies and developing treatment and prevention strategies. Currently, the center has six faculty members, around 40 staff members, postdocs and student research assistants. We are actively recruiting new members to join this new and dynamic group.
Position Title: Data Scientist I, II, III, Computational biologist I, II, III or Postdoctoral Fellow (Bioinformatics/Biostatistics)
Duties & Responsibilities: For bioinformatics or statistician scientists, the projects include developing novel method for analysis and integration of multiple-omics data, and single cell genomics and transcriptome analysis. For data scientists, the projects include assembling and statistical analyses of big clinical data, and application of machine learning and deep learning methods on real medical problems.
At UTSW, there are great opportunities for scientists to collaborate with outstanding biomedical investigators and work on exciting research projects. UT Southwestern provides a friendly, dynamic, collaborative, and integrative research and training environment with state-of-the-art facilities.
Position Qualifications: Candidates should have a doctoral degree in either one of the following fields, including genetics/genomics, bioinformatics, computer science, biostatistics, computational biology or a related field. Programming skills in Python, Perl or R is preferred. Experience for deep learning is highly preferred for data scientist position.
Related websites:
QBRC: https://qbrc.swmed.edu/
Application Deadline: until filled
UT Southwestern Western Medical Center is an Affirmative Action/Equal Opportunity Employer. Women, minorities, veterans and individuals with disabilities are encouraged to apply.
Job Types: Full-time, Contract
Pay: $67,000.00 - $120,000.00 per year
Benefits:
401(k)
401(k) matching
Dental insurance
Employee discount
Flexible schedule
Health insurance
Life insurance
Paid time off
Referral program
Retirement plan
Tuition reimbursement
Vision insurance
Schedule:
Monday to Friday
Supplemental pay types:
Bonus pay
Commission pay
Signing bonus
Education:
Doctorate (Preferred)
Experience:
Linux: 2 years (Preferred)
Work Location: Remote"
Enterprise Account Executive - Artificial Intelligence- REMOTE,Michael Page,"Remote in San Francisco, CA 94109",3.6,PostedPosted 9 days ago,"$150,000 - $160,000 a year","Experience selling data, AI, or a technical product to data scientists, engineering leaders, and C-level executives.
Bread and butter is labeling improvement.",https://www.indeed.com/pagead/clk?mo=r&ad=-6NYlbfkN0BR3ykMnr3Vw97HK5IC0i9Uo32NXohanwqRY-CI8z69bhgeevNMD5Qwspc8okAYAwZFc8zFzq7P61z1btqhmJ7VJ8AYMDzZFcGl5kYHjXSPf5_GZ4WNrCrkSEOam1tDGUIbTZugsqVRDwT9N5sH9fCqhEOM0RCE9vIlYDypjyCAQto71BXPjWDNeHtYz_H9hlnuAFbK6yhekEQIcZkNqqfdr7Ivm-UWbNXh1JeZMYG5YbNBB3b4DpyqW0a1SjR8KgO6O-VEsztT0HKF74wh7Ros4fW1l9TiMmZN-fZ58QXhy-e7p1eTPExvGiogTvsw2KBSzYKNUwBWPt9VXXvhhqfuW9cDSaGldO3q2it9-E44BL3-hbJ9QBxpi8A5NJzN3qRW4y55cAQQ-ljGHZl2nhTmhisIM9Leb45PPWxs8Wzn1Tfz7NkBvaxvup-DpgMKQJJq1dCNVqJikO120SEzOgeky8yT36v7Yx12Psb3sJFxncly5c1wzNM-V9Xm0WhJbgl02ZVSsL11iVoP90wfvabjBu2_to9HVpCNmpV92IH6jCFAQOjlJG790NMu4Q4JXIB7BgvOpezvQdUYeHKOxP3JBkGtwOZkDF5T5aY5NfXyHnf7_DHmDZ6SSfuyUNKoSw9IC7shh-z_ASpLbOuq4W79_NB471eZQnV_LzrIAeFYYP4yRHgrR3QLdfentW9TgtSILXy4s5q-O0gHhfg8yywzWvzmVlj7YoF9Fuo6IzdD-EgEpIcvBGrCroT7yVX4MulEQdeEYbG_kavrtoHHuNihHKCL_AYdXDTh6vrwGkQFiP1ysVfNJR-Fb8v0L3Oi5zs8FgGKm-w8nrx69WwL1rnfBOhW4nyK3KzBGYCjsabQbnZqPm_ln7n3g9nYoH9w9P16leYu_-a2ycLwAQBYDzHZa_HSwFLp0yqsS3hqJie1G2aV_ZwuzhKUjOinbcEPs_naCW7bQZOAgOcbsmzYulPm_OLAccUlmDHTlM5duyc7n2jBLclyoGFpCZMd4XavtcsBeLscBw19mIF5ITfaW58ffknjf0UxNJwtSOjP7YcPVqzzZxZjvrUdB0zoe4IMa681a8RCJf0qt15nJmlrMh3vkbz1WUbFySKZlif1UdITkCt4qYHQ1MzNhPJe_8Gs0TVmalBxnYfG1RjO3BG3uq9DQdNzOgcSCYs2-lLyegODydhZzkRdlMJSeRasHsQuqh8=&xkcb=SoB3-_M3WJmDWzwiCB0LbzkdCdPP&p=14&fvj=0&vjs=3,"Meet quarterly bookings targets from expansion of existing customers and net new customer acquisitions
Develop and execute a pipeline development plan to drive 4:1 quarterly and annual pipeline to quota coverage
Elevate product visibility at large Enterprises and communicate our value proposition
Work with VP and C-Suite executives
Work closely with the Engineering and Product teams to relay customer needs, pain points, and experiences to drive product strategy

MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.
Experience closing sales at a technology company
Experience closing contracts with minimum $100k+ ACV
Experience managing a consultative sales cycle with Executives at Fortune 500 companies
Highly organized & autonomous
Entrepreneurial and self-motivated
Experience selling data, AI, or a technical product to data scientists, engineering leaders, and C-level executives
Experience running the full sales cycle including strong qualification, creating proposals, negotiating contracts, dealing with procurement, and customer success
Are familiar with Salesforce and sales prospecting tools
Are an excellent communicator verbally and in writing
Founded in 2016, 30 million in Series B
AI/ML space, building software that helps other companies ML software learn far more quickly, specifically in labeling.
Bread and butter is labeling improvement
Company develops a platform to train and operate machine intelligence
AI algorithm that helps your machine learning learn better
Industry agnostic - anyone can use AI; could sell to Petco, could also sell to Google
160 employees
HQ SF
Uncapped commission
Competitive salary
401k
Health Benefits"
Data Scientist,"World Wide Technology Holding, LLC","Remote in St. Louis, MO 63102",3.7,PostedPosted 30+ days ago,NaN,"Work incollaboration with data science team and mentors junior scientists.
(e.g., as a statistician / data scientist / scientific researcher).",https://www.indeed.com/rc/clk?jk=1fa80991689a3e97&fccid=a3824b5f2c11b45a&vjs=3,"Required Qualifications
2+ years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / scientific researcher)
Fundamental knowledge in fields such as statistics, machine learning, deep learning.
2+ years of practical experience developing, deploying production machine learning applications such as supervised learning, unsupervised learning.
2+ years of programing skills in Python.
Interest in researching cutting-edge methods in AI, particularly reinforcement learning and federated machine learning.
Job Specific Qualifications
Analysis
Expertise in at least one of the following fields: Deep Reinforcement Learning, Federated Machine Learning, Generative Adversarial Networks
Experience with Neural Networks, including CNNs
Experience applying scientific methodologies to parameter and model tuning
Experience working with data driven Python with modules such as TensorFlow, Keras, NumPy, SciPi, Pandas, Matplotlib, PyTorch, Scikit-Learn
Familiarity with CUDA framework and GPU training / inference
Experience with version control tools, such as Git
Problem Solving
Solves complex problems with hypothesis-driven data science
Understanding of data ingestion and transformation
Capable of running multiple scenarios and pick up the optimal solution
Capable of understanding advanced mathematical or physical explanations, to implement or execute the requested tasks. (e.g., Fourier Transform, Power Spectral Density, Monte Carlo simulation, etc.)
Team & Business Skills
Work incollaboration with data science team and mentors junior scientists
Demonstrated ability to collaborate with a diverse team
Consistently improves communication skills, both verbally and in written materials
Demonstrated creativity in problem solving
Demonstrated leadership and self-direction; demonstrated willingness to both teach others and learn new techniques
Flexibility in task switching. For instance, when there are urgent requests or change of projects, can accommodate the changes without protesting
Mindful of iterations and quality check in a smaller team, before presenting results to larger audience
Raises critical issues when detected
Want to learn more about the Consulting Services Team? Check us out on our platform: https://www.wwt.com/service/consulting-services/overview
The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
Health and Wellbeing: Heath, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement
Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program
Diversity, Equity, and Inclusion is more than a commitment at WWT - it is the foundation of what we do. Through diverse networks and pipelines, we have a clear vision: to create a Great Place to Work for All. We believe inclusion includes U. Be who U are at WWT!
Equal Opportunity Employer Minorities/Women/Veterans/Individuals with Disabilities
Certain states and localities require employers to post a reasonable estimate of salary range. Please feel free to discuss this further with your recruiter. Actual salary will be based on a variety of factors, including location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ.
Some WWT customers have a COVID-19 vaccine requirement. In order to work on projects for these customers, employees must be fully vaccinated or have an appropriate religious or medical accommodation.
Requirements:
Why WWT?
Fueled by creativity and ideation, World Wide Technology strives to accelerate our growth and nurture future innovation. From our world class culture, to our generous benefits, to developing cutting edge technology solutions, WWT constantly works towards its mission of creating a profitable growth company that is a great place to work. We encourage our employees to embrace collaboration, get creative and think outside the box when it comes to delivering some of the most advanced technology solutions for our customers.
At a glance, WWT was founded in 1990 in St. Louis, Missouri. We employ over 7,600 individuals and closed nearly $14 Billion in revenue. We have an inclusive culture and believe our core values are the key to company and employee success. WWT is proud to announce that it has been named on the FORTUNE ""100 Best Places to Work For®"" list for the 11th consecutive year!
Want to work with highly motivated individuals that come together to form high performance team? Come join WWT today!
Position Overview:
World Wide Technology, Inc. has a unique opportunity for a talented, dedicated person to fill the role of Mid Data Scientist. They're up for joining a nimble, start-up team that's backed by a forward-thinking global organization. This person will work as part of a product focused startup, to ensure software products are built of the highest quality. The data science team is responsible for developing a reinforcement learning/federated machine learning solution in conjunction with the software engineering team. The Mid Data Scientist is responsible for helping lead the science work on the product - researching appropriate methods, testing and iterating on solutions, and ensuring quality of deliverables. This is a remote position, with the possibility for occasional travel.
Responsibilities:
Work closely engineering and technology teams
Research and develop internal capabilities to enhance the team members' skillsets on latest data science techniques; work towards producing innovative solutions to the existing challenges
Provide thought leadership in algorithmic and process innovations, and contribute to creativity in solving unconventional problems
Provide mentorship and training to junior team members"
Data Scientist I,Frontier Communications,Remote,3.2,PostedPosted 30+ days ago,NaN,You will get a chance to analyze massive data sets with the most current data science techniques for an ISP serving 3 million broadband customers across 25…,https://www.indeed.com/rc/clk?jk=80e3ad50e8e169f4&fccid=81d1e68cec787077&vjs=3,"About the Role
Frontier Communications is looking for a junior Data Scientist to join our Data Science team under the Consumer organization. You will get a chance to analyze massive data sets with the most current data science techniques for an ISP serving 3 million broadband customers across 25 states. You will look at all facets of our business with the singular mission to improve customer retention, satisfaction, and lifetime value.
Key Job Responsibilities
Develop predictive, causal, and prescriptive models with the ultimate aim to reduce churn rates, increase customer satisfaction metrics and improve upgrade conversion rates.
Provide statistical consulting for the design and analysis of experiments to conduct in call centers, field maintenance, marketing, customer onboarding and network operations.

Must-Have Qualifications
Any of the following combinations of work and academic experience:
Any quantitative-oriented undergraduate degree plus 1 to 2 years of work experience as a data scientist
Or Bachelors or Masters in Statistics, Econometrics, Biostatistics, Epidemiology, or Data Science
Or Ph.D. in any discipline involving a dissertation with a strong emphasis on a statistical analysis of empirical data (e.g., Economics, Psychology, Sociology, Computer Science, etc.)
Strong experience in logit and multivariable linear regressions
We do NOT expect the candidate to be familiar with ALL the following topics, but it would desirable or “nice to have” if they have an academic or professional grounding in SOME of them. The key topics are (in no particular order):
Experimental design (threats to validity, multiple treatment design, clinical trial design, pretests, posttests, etc.)
Time series
Hypothesis testing (including non-parametric methods)
GLM
Bayesian inference
Choice modeling
Causality analysis (instrumental variables, moderators, mediators, the difference in difference, etc.)
Rules-based classifiers (e.g., RIPPER, BRL, etc.)
Decision tree classifiers (e.g., Random Forest, other ensemble methods, specific algorithms, etc.)
Dimensionality reduction (e.g., KNN clustering, k-means clustering, principal component analysis, etc.)
Multiclass classification (e.g., SVM, Naïve Bayes, multinomial logit, etc.)
Imbalanced data methods (e.g., SMOTE, F-Beta, over-sampling, etc.)
NLP
Imbalanced binary classification
You have EXTREMELY strong written and oral communication skills to help translate the technical aspects of your work into plain English that a non-statistician will understand.
Intermediate skills in SQL
Intermediate skills in Python (pandas, scikit-learn, statsmodels, NumPy)
You are interested in learning more about the programming and machine learning aspects of the data science world
Nice to Have Qualifications:
Familiarity with working on data involving telecoms, mobile providers, ISPs, or cable companies
Has prior experience working with or on a data science team
Experience working in any of the major cloud platforms: AWS, Azure, GCP
Experience with ETLs
Experience working with customer service, billing, network operations, behavioral, demographic and/or finance data
Experience in data visualization

New hires must be fully vaccinated against COVID-19 by their start date with the company (or have been granted a religious or medical exemption accommodation)."
Data Scientist,Circle,"Remote in Austin, TX+9 locations",3.7,PostedPosted 1 day ago,NaN,"Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions.",https://www.indeed.com/rc/clk?jk=929cc4b55e754b8c&fccid=4ad12104a44e9eb6&vjs=3,"Circle is a global financial technology firm that enables businesses of all sizes to harness the power of digital currency and public blockchains for payments, commerce and financial applications worldwide. Circle platforms and products provide a suite of internet-native financial services for payments, treasury infrastructure and capital formation. Circle is also a principal developer of USD Coin (USDC), which has become the fastest growing dollar digital currency in the world. USDC has grown to over 44+ billion in circulation and supported over $1.7+ trillion in transactions in the past year. Circle's payments and treasury infrastructure services available through the Circle Account and APIs helps bridge the legacy financial system and digital currency and blockchain based finance. Combined, Circle's suite of services helps companies to participate in a more open, global and inclusive financial system.
What you'll be part of:
With the mission ""To raise global economic prosperity through the frictionless exchange of value,"" Circle was founded on the belief that the internet, blockchains and digital currency will rewire the global economic system, creating a fundamentally more open, inclusive, efficient and integrated world economy. We envision a global economy where people and businesses everywhere can more freely connect and transact with each other with new technologies for digital money and internet-native finance. We believe such a system can raise prosperity for people and companies everywhere. Our mission is powered by the values we espouse and which we expect all Circlers to respect. We are Multistakeholder, serving the needs of our customers, our shareholders, our employees and families, our local communities and our world. Furthermore, we are also Mindful, Driven by Excellence, and High Integrity.
What you'll be responsible for:
As a Data Scientist, Analytics at Circle, you'll work closely with product stakeholders and engineers to better understand our products and enable better decision making with data. Your job will include making sure teams are focused on the biggest opportunities, defining success metrics and goals, and communicating insights throughout the company. We are a passionate team with a deeply analytical mindset, and your work will support us in our mission to be a world-class company driven by data.
What you'll work on:
Own a domain end-to-end, understand the business problems, define and monitor key metrics, identify opportunities and drive conversations around where to invest engineering resources
Measure business performance, develop core metrics and create dashboards to track and understand them.
Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions.
Perform analyses and build models to understand customer behavior, extracting key insights and communicating to stakeholders to impact product decisions
Communicate the state of business, experiments results and recommendations to a broad team and senior leadership
Data collection and analysis of blockchain activity to understand trading activity, incentives, and how USDC fits in to the broader crypto ecosystem
What you'll bring to Circle:
3+ years of industry experience working with and analyzing large data sets
Experience in data analyses using SQL and at least one programming language (e.g. R, Python)
Understanding of statistics and experience applying them to business problems
Experience planning and executing analytical projects
Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage.
Previous experience working with financial services data or crypto is a plus.
Experience with Looker, Tableau or other business intelligence platforms.
Domain experience in product, marketing, growth, or other business analytics, compliance, risk areas.
Experience manipulating large amounts of structured and unstructured data.
Additional Information:
This position is eligible for day-one PERM sponsorship for qualified candidates.
We are an equal opportunity employer and value diversity at Circle. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#LI-Remote"
Data Scientist,Walker & Dunlop,Remote,4.0,PostedPosted 30+ days ago,NaN,At 180 days – You’ll be able to use a scientific approach to identify and propose new features or improvements that would benefit the project and collaborate…,https://www.indeed.com/rc/clk?jk=e43c8be27c3fa97a&fccid=dc1a8c4888022257&vjs=3,"Department:
WDTech
Ready to bring your whole self to work every day? At Walker & Dunlop, we didn’t get to where we are by hiring ordinary individuals. We got here by hiring the exceptional! WD is looking for individuals who are caring, collaborative, driven, insightful, and tenacious to join our team!
Walker & Dunlop’s company mission is to be the premier commercial real estate finance company in the country, and we can achieve this goal by leading the industry with technology innovations. The technology team has a creative and entrepreneurial culture – everyone on the team interacts directly with customers, and we all contribute to the product and planning. Innovation and passion for disrupting the old-fashioned real estate industry are our highest priorities.
What you will be doing:
Implement and maintain regression, classification and optimization algorithms, supervised and unsupervised, to predict asset valuation, market trends and detect best opportunities
Prototype, implement, test, deploy, and maintain stable data engineering solutions
Implement new statistical, or other mathematical methodologies, as needed for specific models or analyses
Work with the team and help implement solutions into APIs and interfaces
Present possible technical solutions to various stakeholders, clearly explaining your decisions and how they address real user needs, incorporating feedback in subsequent iterations
Develop a solid understanding of the parameters that drive success in real estate investment and development
What We’re Looking For:
Master’s degree in a related field required
At least two years’ experience in statistical analysis and/or data science using Python
You have successfully designed, implemented and maintained robust models in production
You have proficient software development knowledge, with experience building, growing, and maintaining a variety of products, and a love for creating elegant applications
You have an entrepreneurial mindset and are product-oriented
You are curious and willing to keep learning in data science, but also in frontend and backend technologies
You have worked with financial mathematics or are willing to learn on the job about them
Technologies We Use:
Python 3 for data analysis (critical)
Python packages for data processing or ML, such as scikit-learn, numpy, beautifulsoup, matplotlib, nltk, pandas, etc. (critical)
PostgreSQL / BigQuery (or similar, critical)
Modern Devops i.e. Docker, GitHub Actions, Google Cloud, CI/CD (preferred)
Golang (or similar strictly typed language, preferred/helpful)
Vue.js (or similar frontend framework, helpful)
What to expect your first 6 months?
At 30 days – You’ll have familiarized yourself with the project’s purpose and code base (backend and frontend) and will have participated in building a feature in our platform
At 90 days – You’ll have a working knowledge about the domain and a deeper understanding about the problem-space. You’ll have a good idea of the value provided by your tasks and have implemented / refined a couple of them
At 180 days – You’ll be able to use a scientific approach to identify and propose new features or improvements that would benefit the project and collaborate with the team to implement them. You’ll now be able to write some code end-to-end: data processing, model training, implement new endpoints in the backend, show some (raw, non-styled) results in frontend. You’ll be explored different projects
Still reading? Then we think you should apply!
EEO Statement
Walker & Dunlop is an equal employment opportunity employer and does not discriminate based on race, color, national origin, religion, gender identity, sexual orientation, sex, age, disability, veteran or military status, genetic information, or any other characteristic protected by applicable law.

SPAM
Please be wary of recruitment scams. An indication of a scam might be a request for sensitive or bank information at the time of application or emails coming from a non walkerdunlop.com email address. Please call us at 301.215.5500, if you have any concerns about information requested during or after the application process."
Data Scientist,AGM Tech Solutions,Remote,NaN,PostedPosted 30+ days ago,$75 - $85 an hour,"Forensic analysis, data validation, and scientific rigor with algorithms.
Asynchronous time series data in big data environments.
O Master's degree preferred.",https://www.indeed.com/company/AGM-Tech-Solutions/jobs/Data-Scientist-bc7b78205d676258?fccid=72107885f64c115d&vjs=3,"Hiring a Data Scientist
REMOTE-NJ
Position Title:
Data Scientist
Provides architecture and model design consultation based on theoretical
knowledge of statistics and computation. Application of Client/AI strategies to solve
functional requirements.
Responsibilities
Design, build, and maintain automated predictive models to forecast and address
traffic and Transportation Operations Management.
Implement models and algorithms in prototype software leading into production
deployment.
Required Qualifications
o Bachelor's degree in statistics, applied mathematics, or related discipline.
o Deep knowledge of a variety of machine learning techniques (clustering, decision
tree learning, artificial neural networks, etc.) and their real-world
advantages/drawbacks.
o Programming experience in Python, Java, Scala, R, etc. including neural network
implementation, training, experimentation, and evaluation
o Ability to apply common modeling best practices to build models using high-volume,
asynchronous time series data in big data environments.
o Advanced pattern recognition and predictive modeling experience.
Desired Qualifications
o Master's degree preferred.
o Strong analytical ability; problem deconstruction, statistical thinking, meticulous
forensic analysis, data validation, and scientific rigor with algorithms.
o Programming experience with Big Data preparation/preprocessing, streaming data
pipelines, and/or model deployment.
o Experience on a broad set of Client approaches and techniques, ranging from Recursive
Neural Network (e.g., LSTMs), ARIMA, GARCH.
o Geospatial analysis experience.
o Traffic data fusion algorithms and techniques.
Job Types: Full-time, Contract
Pay: $75.00 - $85.00 per hour
Schedule:
8 hour shift
Work Location: Remote"
Senior Data Analyst,Convera,+1 locationRemote,NaN,PostedPosted 3 days ago,"$100,000 - $120,000 a year","3-5 years experience in data analytics.
Identify, analyze, and interpret trends or patterns in complex data sets.",https://www.indeed.com/rc/clk?jk=513fbcfd2e8d6046&fccid=1e938f444fa4a920&vjs=3,"As a Senior Data Analyst within our global compliance department at Convera, we’ll be looking to you to provide analytical oversight of our list filtering and screening application for the Company’s banking, KYC, real-time payments and related products. This position is Hybrid(flexible working options) in North America.

We’re a company on the move, and we want our people to grow and develop. You’ll have plenty of opportunities to learn new skills and build a career, as well as a great salary and benefits package.We are passionate about our diversity. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams, while reflecting the communities we serve. We do not discriminate on the basis of race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status.

In addition, you will, write rules and exceptions to support false positive reduction and effective filter hit rate management, conduct testing and consistently meet project deadlines while completing thorough documentation and information sharing throughout using system experience.

Work directly with large volumes of data, creating meaningful analysis.
Interpret data, analyze results using statistical techniques and provide ongoing reports.
Identify, analyze, and interpret trends or patterns in complex data sets.
Locate and define new process improvement opportunities.
Provide ad-hoc reports and perform investigative steps regarding specific transaction screening flow through compliance system(s).
Partner with all groups within the Compliance department to drive technology needs in collaboration with the IT organization.
Maintain an attention to detail while coordinating efforts cross-functionally.
Qualifications:
Bachelor's Degree
3-5 years experience in data analytics.Demonstrated experience with Data Analysis and working with relational and No SQL databases concepts, including writing complex queries for ad hoc data analysis.
Experience in handling and analyzing large volumes of data, providing ad-hoc reports, and complex reports.
Strong interpersonal analytical, problem-solving, influencing, prioritization, decision making and conflict resolution skills.
Team player with strong collaborative qualities and a positive demeanor.
Experience in Fircosoft or similar list filtering applications in maintaining, improving annd testing such a system for a Financial Services Company is preferred.
Join us, and let’s move money simply, securely, smartly Convera is delivering solutions ranging from simple currency exchanges to sophisticated risk management solutions and platforms. Everything we do is designed to enhance the customer experiences and seamlessly power their global commerce needs. It’s an exciting time for our organization, as the largest non-bank cross-border payment company in the world serving over 30k customers in more than 200 countries. If you’re ready to unleash your potential to help drive change, apply now.

The annual gross base salary range is $100,000-$120,00 USD Annual Salary. This range represents the anticipated low and high end of the salary for this position.

Actual salaries will vary and are based on factors such as a candidate’s qualifications, skills, and competencies. Salary is one component of the Convera's total compensation package, which includes short-term incentives, multiple health insurance options, accident, and life insurance, and access to best-in-class development platforms, to name a few!"
Data Scientist,Connvertex Technologies Inc.,Remote,NaN,PostedPosted 30+ days ago,NaN,"Experience in working in statistical and predictive analysis, complex query writing, programming, machine learning and AI - around 4 years OR someone that comes…",https://www.indeed.com/rc/clk?jk=b0a92f7d684f0cdc&fccid=9054760f785524fd&vjs=3,"Overview

Role: Data Scientist

Duration: Long term contract

Top Skills' Details

1. Experience in working in statistical and predictive analysis, complex query writing, programming, machine learning and AI - around 4 years OR someone that comes from data analysis and/or system analyst background and Masters/grad school degree in data analytics/data science
2. SQL programming (Python nice to have)
3. PowerBI/Tableau
4. ETL dev

Nice to haves/others: cloud (Azure/AWS), health care background"
Data Scientist,BlastPoint,Remote,NaN,PostedPosted 4 days ago,"$100,000 - $140,000 a year",Deep understanding of statistics and other mindsets for building models from data; strong data acumen in translating business problems into supervised…,https://www.indeed.com/rc/clk?jk=7563544e5dc35887&fccid=a3ba1b95b0c4b95d&vjs=3,"Salary Range: $100-140K
About Us
BlastPoint is a B2B data analytics startup located in the East Liberty neighborhood of Pittsburgh. We give companies the power to solve business problems through discovering the humans in their data and understanding how they think. Serving diverse industries including energy, retail and transportation, BlastPoint’s software platform helps companies plan solutions to customer-facing challenges, from encouraging green behavior to managing customers’ financial stress. Founded in 2016 by Carnegie Mellon Alumni, we are a tight-knit, forward-thinking team.
Why You Should Work for Us
Solve Challenging Problems: BlastPoint’s platform incorporates cutting-edge approaches to geospatial data, psychographic clustering, data enrichment and a dynamic visualization environment, all at scale. We’re working to break new ground by pulling insights from high-dimensional data. And we’re pushing ourselves to try new and better ways to approach every step of our process.
Have An Impact: Small but mighty, BlastPoint’s growth is due to big companies increasingly trusting us with supporting key decisions using their most sensitive data. What we do positively impacts the lives of millions of Americans (and beyond).
Make Positive Change in the World: Our solutions reduce paper consumption, help struggling families pay their bills, and promote clean energy. We also offer our platform for free to nonprofits and civic-oriented organizations.
Employee-Focused Culture: We support the individual needs of our team, from schedule and time-off flexibility to generous compensation benefits. We also tailor growth opportunities, from skills training to industry conferences.
Job Description
We’re looking for a thoughtful, curious, and resourceful Data Scientist to join our growing team. You’re comfortable presenting insights to clients, and thrive in situations where you have to learn about and solve a client’s specific problems. This role is the technical face that accompanies our clients’ experience working with us, meaning that you will be the person leading them to solutions by presenting project results, interacting with clients in a consultative manner, and supporting overall customer success. This is a fully-remote position with the option to work from our home office in Pittsburgh, PA, with occasional company meetings in-person.
Core duties include:
Architect, develop and deploy models and algorithms using customer, open source, and proprietary data; assess model quality, and validate and iterate on those models
Own the process of integrating customer data, analyzing it using our methodology and your data instincts, and make it deliver value to the customer
Evaluate the effectiveness and accuracy of public and private data sources, choose the right ones for our platform, and make them ready to sing harmony to a customer dataset’s melody
Help design and automate our customer dataset analysis and insights delivery process, to smoothly handle a wider variety and higher velocity of data
Act as the technical bridge between the customer and the product, making our tools useful, relaying product feedback, and customizing to a client’s needs where necessary
Leaning on your empathy and leadership skills, you will work with our clients in a consultative capacity, learning about their particular needs and being their advocate both internally and externally. That means participating in client meetings, leading technical discussions, presenting project results, interacting with clients in a consultative manner, and other technical customer-facing engagement, as needed.
We expect the balance of your work day-to-day to be 60-70% client project-centric work, 20-30% scripting to improve our shared data analytics tooling, and ~10% account management or support needs. The hope is that feedback from your client experiences can directly make our systems more efficient, and eventually more self-serve, reducing the need for clients to have consultative project teams at all.
Professional Requirements
2+ years of experience in data science or educational equivalent; strong preference for additional experience in software, R&D, consulting or adjacent fields
Bachelor’s degree or equivalent experience in computer science, mathematics, statistics, economics, or similar
Understanding of cluster-analysis techniques (e.g. K-means, DBSCAN, etc)
Excellent communication skills; comfortable with and effective at delivering presentations
Comfortable with Python and common accompanying tools including Pandas and Scikit-Learn
Deep understanding of statistics and other mindsets for building models from data; strong data acumen in translating business problems into supervised/unsupervised machine learning problems.
Comfort with relational database systems and SQL
Authorized to work in the United States
Preferred Skills and Experience
A passion for discovering the secrets and solutions hidden in large datasets
Highly attentive to detail, with a skeptical sixth sense about signal-vs-noise
Ability to self-motivate, self-organize and work independently in a challenging, fast-paced environment with several ongoing concurrent projects
A willingness and demonstrated ability to work collaboratively with a small team; excellent internal communication skills
A can-do mentality, with the willingness to roll up your sleeves and take initiative to solve something when necessary
Knowledge of a wide variety of machine learning and statistical analysis techniques, their advantages and drawbacks, and areas of best applicability
Experience in designing and implementing effective monitoring systems for machine learning models in production.
Familiarity with machine learning approaches for time series forecasting and natural language processing (NLP)
Curious and eager problem solver, willing to bring new ideas to the team and advocate for best practices, and able to self-teach new skills when needed, with a hunger for building well-designed, high quality solutions
Recognition that there are always multiple answers to a problem and the ability to engage in a constructive dialogue to find the best path forward
Some experience with ETL processes or Data Prep tools is helpful
Experience in or exposure to the constraints of a startup environment is helpful
Ability to commute to the Pittsburgh, PA office quarterly, for company-wide meetings, and to travel to client sites when occasionally necessary for a project"
Data Analyst,Booz Allen Hamilton,"Remote in Rome, NY 13441+1 location",3.9,PostedPosted 30+ days ago,$19 - $26 an hour,"Experience with machine learning, data mining, statistics, or graph algorithms in an academic or internship environment.
Ability to obtain a security clearance.",https://www.indeed.com/rc/clk?jk=319710555117dbdc&fccid=4e041af1d0af1bc8&vjs=3,"The Challenge:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data analyst intern, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve our business. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll apply analytical skills and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help clients make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. This position is a hybrid role with a combination of working at a Booz Allen office or client site and working remotely.
Join us as we use data science for good in consulting.
Empower change with us.
You Have:
Experience with machine learning, data mining, statistics, or graph algorithms in an academic or internship environment
Ability to leverage expertise in data gathering, analytical, and problem-solving work
Ability to apply critical thinking to a wide variety of problems
Ability to obtain a security clearance
Scheduled to obtain a Bachelor’s degree between December 2022 and May 2025
Nice If You Have:
Knowledge of an object-oriented language, including Java, C++, C#, or Python
Bachelor's degree in CS, Computer Engineering, Industrial Engineering, Systems Engineering, Math, or Statistics preferred; Master's degree in CS, Computer Engineering, or Systems Engineering a plus
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation:
The salary for this position will be determined based on various factors. The proposed salary range for this position in Colorado is $19 to $26 per hour. This position is not eligible for benefits.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
URT1"
Data Scientist (Virtual),BOEING,"Remote in Annapolis Junction, MD",3.9,PostedPosted 16 days ago,"$125,000 - $195,000 a year","Employ extensive knowledge in machine learning algorithms including: data mining, inferential statistics, mathematical optimization, natural language processing…",https://www.indeed.com/rc/clk?jk=b10e5cb51a13c324&fccid=edae4285faf6c2f0&vjs=3,"At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
The Boeing Defense Space & Security (BDS) organization is seeking a highly-skilled, innovative Senior Data Scientist to work remotely for our industry-leading Enterprise Insider Threat Program group based in Annapolis Junction, MD.
In this role, you will work closely with a skilled team of analysts, software engineers, data engineers, and investigators. You will design, develop, test, deploy, and maintain new and existing, innovative machine learning and analytical capabilities and products to support the mission of The Boeing Company’s Insider Threat Program, and to identify, detect, assess, investigate, address, and mitigate potential insider threats.
Position Responsibilities:
Employ extensive knowledge in machine learning algorithms including: data mining, inferential statistics, mathematical optimization, natural language processing (NLP), text mining, visual analytics, and graph databases.
Work independently to learn the mathematical and statistical approaches and models already employed by the Program, and create and adapt new models to support their mission.
Maintain ability to design and create new algorithms for the analysis of data to identify potential threats.
Exhibit proficiency in evaluating the performance of existing algorithms, and make improvements to enhance the fidelity and accuracy of them.
Thoroughly assess business requirements to select appropriate algorithms and build descriptive statistical and mathematical models to solve analytical problems using insider threat data in support of mission.
Evaluate and validate correctness of complex models and analysis; assess and confirms performance of models and analytical products; and ensure that models meet business objectives.
Prepare data for analysis (e.g. cleansing, conditioning, transforming, filling in missing fields, identifying new feature variables and handling multi-variate data)appropriate for the volume of structured and unstructured data; identify potential trouble areas and suitability of data and provide mitigation recommendations.
Perform research into the application of new methods for identifying insider threat patters.
Interpret the outputs of complex data analysis to translate into concrete results and visualize trends and patterns.
Understand the insider threat mission in order to set goals that align with the Program’s mission (an understanding of cognitive learning and human behavior is a plus).
Engage with other data scientists in the field and stay current on published works on data analytics including predictive.
This position is identified as a virtual opportunity (work remote) and does not require you to live in Annapolis Junction, MD.
This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active.)
Basic Qualifications (Required Skills/Experience):
1+ years of experience developing and maintaining relationships and partnerships with customers, stakeholders, peers, and partners.
Experience with analytical programming languages, techniques, and tools including R (RStudio, shiny, devtools, package development, unit testing, and documentation) or Python (pandas, numpy, jupyter, scikit-learn, pytorch, tensorflow).
Experience developing data science algorithms to aid and assist in optimization and predictive analysis.
Experience do you have with Source Control Management tools (like Git).
Preferred Qualifications (Desired Skills/Experience):
An active Top Secret Security Clearance.
Ability to be detail-orientated and be an independent self-starter.
Communication skill to collaborate clearly, concisely, and consistently with team members, partners, customers, and business stakeholders.
Familiarity using the command line to interface between Linux and Windows environments in a remote setting.
Experience working in geographically-dispersed teams.
Maintain a detailed understanding of corporate security, cyber security, and insider threat problem domain and associated technologies and analytical methodologies.
Typical Education & Experience:
Typically 7 or more years’ related work experience or relevant military experience. Advanced degree (e.g. Bachelor, Mater, etc.) preferred but not required.
Relocation:
Relocation assistance is not a negotiable benefit for this position.
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Shift Work Statement:
This position is for 1st shift.
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Please note that the salary information shown below is a general guideline only. Salaries are based upon candidate experience and qualifications, location, as well as market and business considerations.
Summary pay range: $125,000 - $195,000.

Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law."
Data Scientist Co-Op (Spring 2023),HERSHEY MX,"Remote in Hershey, PA",NaN,PostedPosted 30+ days ago,NaN,"Collaborates with IT to prepare and manipulate structured and unstructured data for data discovery and mining from multiple, disparate, resources.",https://www.indeed.com/rc/clk?jk=7a07720220241ddc&fccid=0fd5859679c723fd&vjs=3,"Posted Date: Nov 17, 2022
Requisition Number: 115898
Location: Remote
Duration: Spring 2023

WHY HERSHEY?
The Hershey Company is a global fortune 500 company that is a recognized leader in the Consumer Packaged Goods industry. Our goal is to integrate students with our knowledgeable and successful teams in order to maintain a fresh perspective on an ever-changing world. Every day presents new challenges and opportunities to learn, grow and innovate. Are you up for the challenge? Are you ready to make a difference?

WHY SUPPLY CHAIN AT HERSHEY?
The Supply Chain organization at The Hershey Company has open internships for analytically minded, tech-savvy undergraduate and graduate students. Technology and analytics are elemental to all aspects of Hershey’s supply chain. Hershey has a diverse global team focused on providing robust innovative capabilities, partnering on analysis to drive successful business outcomes and embraces an entrepreneurial mindset to create an environment that is exciting, compelling, innovative and dynamic.

We are looking to fill a Data Scientist Co-Op role with the Supply and Demand Planning Center of Excellence. This role will be focused on using implementing analytical methods through software to understand, improve and monitor our forecasting system and process. Additional data related problems are continuously arising; additional opportunities will be available based on experience/skill level. This work ensures the most accurate forecasts are being used to impact multiple facets of our supply chain planning.

RESPONSIBILITIES:
Collaborates with IT to prepare and manipulate structured and unstructured data for data discovery and mining from multiple, disparate, resources.
Builds high-end analytic models, utilizing supervised and unsupervised learning models, to support decision makers with data driven insights that address immediate business problems and objectives.
Creates informative visualizations that intuitively display large amounts of data and/or complex relationships.
Translates data analytics into coherent reports and presentations for internal and external customer with varying degrees of technical knowledge.

QUALIFICATIONS:
Passion for analytical problem solving.
Pro-active problem solver who continually asks why to understand root causes.
Experience with R or Python, SQL.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Knowledge of machine learning techniques and approaches (feature engineering, classification, clustering, decision trees, etc.).
Knowledge of time series analysis and forecasting a plus.
Familiar with software engineering tools and processes (git, repositories, containers, devops, PyCharm,etc.).
Quick learner through formal and self-guided education.
Ability to work in teams or individually.
Courage to challenge the status quo and take smart risks.
Excellent written and verbal communication skills for coordinating across teams.

EDUCATION:
Bachelors degree candidates in quantitative, STEM focused programs are preferred (e.g. Business, Computer Science, Engineering, Economics, Mathematics, Statistics)
Demonstrated experience with, and knowledge of, tools and techniques will also be considered.


Nearest Major Market: Harrisburg"
Data Scientist - Model Validator (REMOTE),State Farm,"Remote in Dunwoody, GA 30346",3.7,PostedPosted 30+ days ago,"$84,620 - $148,940 a year","Furthermore, you will rely on your experience to discuss alternative approaches as well as develop alternative models to the ones proposed by other data…",https://www.indeed.com/rc/clk?jk=acecb561f6827aaf&fccid=d2310af9b3bb8585&vjs=3,"Overview:
We are not just offering a job but a meaningful career! Come join our passionate team!
As a Fortune 50 company, we hire the best employees to serve our customers, making us a leader in the insurance and financial services industry. State Farm embraces diversity and inclusion to ensure a workforce that is engaged, builds on the strengths and talents of all associates, and creates a Good Neighbor culture.
We offer competitive benefits and pay with the potential for an annual financial award based on both individual and enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more!
Visit our Careers page for more information on our benefits, locations and the process of joining the State Farm team!
Responsibilities:
In this role you will be responsible for the independent review and validation of various types of models, including machine learning models, that are being developed or have been implemented at State Farm. Statistical areas of model review include but are not limited to problem design, data engineering, model development, performance validation, and plans for ongoing monitoring. Furthermore, you will rely on your experience to discuss alternative approaches as well as develop alternative models to the ones proposed by other data scientists. Moreover, the Model Validation team provides periodic independent statistical consultation, analysis, or modeling work apart from independent review.
Why Join Our Team:
Implementing solutions is critical for success for data science at State Farm. As part of the Model Validation team, your role will consist of problem identification, solution proposals and presentations to a wide variety of management & technical audiences. This role allows you to work on multiple concurrent projects in a community setting, develop yourself and others, and advance data science both at State Farm and externally. The variety of projects, technologies, and statistical techniques will create an unbounded development opportunity for enhancing your analytic skills.
Qualifications:
Completed Masters, other advanced degrees, and 3+ years of experience in an analytical field such as data science, quantitative marketing, statistics, operations research, management science, industrial engineering, economics, etc.
5+ years of experience building predictive models preferred.
Experience engaging in quantitative analysis on many non-standard and unique business problems. Candidates with experience conducting analysis in the Insurance or Financial industry preferred.
Experience with data cleansing, feature creation, feature selection and value imputation.
Experience with Python, R, and/or SAS
Experience with cloud-based environments (e.g.AWS) and/or Linux
Thorough understanding of generalized linear models
Knowledge of at least two (2) of the following methods:
time series analysis
cluster analysis
tree-based algorithms, or
neural networks
Excellent communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
Exercise sound judgment to diagnose and resolve problems within an area of expertise
**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity**

For Los Angeles candidates: Pursuant to the Los Angeles Fair Chance Initiative for Hiring, we will consider for employment qualified applicants with criminal histories.
For San Francisco candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
For Colorado candidates:
Salary Range: $84,620 - $148,940.00
Competitive Benefits, including:
401k Plan
Health Insurance
Dental/Vision plans
Life Insurance
Paid Time Off
Annual Merit Increases
Tuition Reimbursement
Health Initiatives
For more details visit our benefits summary page

SFARM
#LI-LP1
#LI-Remote
#LI-Hybrid"
Data Analyst,Capgemini,Remote,3.8,PostedPosted 5 days ago,NaN,"Providing technical expertise in data storage structures, data mining, and data cleansing.
Commissioning and decommissioning of data sets.",https://www.indeed.com/rc/clk?jk=4c107e37c324f80e&fccid=105ecfd0283f415f&vjs=3,"Duration: 6+ Months

Job Description:
Smartsheet dashboard expert - Must Have
Must be good with vlookups and able to do general data analysis and an ability to build meaningful reports.
Google / GCP is not a must
Can be a contracting role
Managing master data, including creation, updates, and deletion.
Managing users and user roles.
Provide quality assurance of imported data, working with quality assurance analysts if necessary.
Commissioning and decommissioning of data sets.
Processing confidential data and information according to guidelines.
Helping develop reports and analyses.
Managing and designing the reporting environment, including data sources, security, and metadata.
Supporting the data warehouse in identifying and revising reporting requirements.
Supporting initiatives for data integrity and normalization.
Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
Generating reports from single or multiple systems.
Troubleshooting the reporting database environment and reports.
Evaluating changes and updates to source production systems.
Training end-users on new reports and dashboards.
Providing technical expertise in data storage structures, data mining, and data cleansing.

The Capgemini Freelancer Gateway is enabled by a cutting-edge software platform that leads the contingent labor world for technology innovation. The software platform leverages Machine Learning and Artificial Intelligence to make sure the right people end up in the right job.

A global leader in consulting, technology services, and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital, and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company with over 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion."
Data Science - General Interest - Talent Community,Sezzle,"Remote in Minneapolis, MN",NaN,PostedPosted 30+ days ago,NaN,"Generous paid time off, sick time and volunteer hours.
Life, STD/LTD, medical, dental and vision insurance.
Highly discounted LifeTime gym membership.",https://www.indeed.com/rc/clk?jk=2d4eefc241dbd738&fccid=4f90dcffdeb84128&vjs=3,"Sezzle invites you to join our Talent Community!

At Sezzle, we are always seeking talented, motivated people to join our company. Our Buy Now Pay Later product is driven by data - and our Data Science team is a critical part of how we do what we do. If you are ready to join a company that moves QUICKLY and where you can truly make an impact - you've found the place. You Matter Here!
By applying to this posting - you are signaling that you have general interest in a role at Sezzle. Whether you are seeking an internship or a senior level strategic role - we'd love to speak with you. This posting is not connected to a specific role - it's a way for us to get introduced for any current or future opportunities. We look forward to getting to know you!
About Sezzle:
Sezzle is a cutting-edge fintech company whose long-standing mission is to financially empower the next generation. Only one in three millennials own a credit card, and the vast majority of millennials possess a subprime credit score or no score at all. To address these problems, Sezzle has built a payment platform that increases purchasing power for consumers by offering interest-free installment plans at online stores. This increase in purchasing power for consumers leads to increased sales and basket sizes for the numerous eCommerce merchants that currently work with Sezzle.
As the first and only B-Corp in the payments space, Sezzle's goal is to help everyone pursue financial freedom, and to invest in social good and ethical initiatives that shape a better world.
At Sezzle, we're committed to putting purpose alongside profitability. We work hard to maintain rigorous standards of social and environmental performance, accountability, and transparency to build a better world. The employees at Sezzle lean into significant societal and cultural shifts, ensuring internal and external focus on positive impacts that benefit our community.
Perks & Benefits:
Competitive salary and RSUs
Generous paid time off, sick time and volunteer hours
Life, STD/LTD, medical, dental and vision insurance
Highly discounted LifeTime gym membership
Work From Home stipend
401k with impressive employer match
Remote first work

What Makes Working at Sezzle Awesome?
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. Sezzle provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, creed, gender, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, national origin, age, disability, genetic information or characteristics, marital status, familial status, veteran or military status, status regarding public assistance, membership or activity in a local commission, or any other protected status in accordance with applicable federal, state and local laws."
Data Scientist,Techspace Solutions,+1 locationRemote,NaN,EmployerActive 2 days ago,NaN,"Need Strong Data Scientist who has at least 5 years of relevant experience.
Prior experience working in Financial domain will be a plus – NOT mandatory.",https://www.indeed.com/company/Techspace-Solutions/jobs/Data-Scientist-f6cdebcb2b602832?fccid=1eb2b4ff3d882fcb&vjs=3,"Job Title: Data Scientist
Location: Remote
Duration: 6-12 months
JD:
Need Strong Data Scientist who has at least 5 years of relevant experience
Prior experience working in Financial domain will be a plus – NOT mandatory
Job Type: Contract
Schedule:
8 hour shift
Experience:
Python: 1 year (Preferred)
SQL: 1 year (Preferred)
Work Location: Remote"
Data Science - General Interest - Talent Community,Sezzle,"Remote in Minneapolis, MN",NaN,PostedPosted 30+ days ago,NaN,"Generous paid time off, sick time and volunteer hours.
Life, STD/LTD, medical, dental and vision insurance.
Highly discounted LifeTime gym membership.",https://www.indeed.com/rc/clk?jk=2d4eefc241dbd738&fccid=4f90dcffdeb84128&vjs=3,"Sezzle invites you to join our Talent Community!

At Sezzle, we are always seeking talented, motivated people to join our company. Our Buy Now Pay Later product is driven by data - and our Data Science team is a critical part of how we do what we do. If you are ready to join a company that moves QUICKLY and where you can truly make an impact - you've found the place. You Matter Here!
By applying to this posting - you are signaling that you have general interest in a role at Sezzle. Whether you are seeking an internship or a senior level strategic role - we'd love to speak with you. This posting is not connected to a specific role - it's a way for us to get introduced for any current or future opportunities. We look forward to getting to know you!
About Sezzle:
Sezzle is a cutting-edge fintech company whose long-standing mission is to financially empower the next generation. Only one in three millennials own a credit card, and the vast majority of millennials possess a subprime credit score or no score at all. To address these problems, Sezzle has built a payment platform that increases purchasing power for consumers by offering interest-free installment plans at online stores. This increase in purchasing power for consumers leads to increased sales and basket sizes for the numerous eCommerce merchants that currently work with Sezzle.
As the first and only B-Corp in the payments space, Sezzle's goal is to help everyone pursue financial freedom, and to invest in social good and ethical initiatives that shape a better world.
At Sezzle, we're committed to putting purpose alongside profitability. We work hard to maintain rigorous standards of social and environmental performance, accountability, and transparency to build a better world. The employees at Sezzle lean into significant societal and cultural shifts, ensuring internal and external focus on positive impacts that benefit our community.
Perks & Benefits:
Competitive salary and RSUs
Generous paid time off, sick time and volunteer hours
Life, STD/LTD, medical, dental and vision insurance
Highly discounted LifeTime gym membership
Work From Home stipend
401k with impressive employer match
Remote first work

What Makes Working at Sezzle Awesome?
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. Sezzle provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, creed, gender, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, national origin, age, disability, genetic information or characteristics, marital status, familial status, veteran or military status, status regarding public assistance, membership or activity in a local commission, or any other protected status in accordance with applicable federal, state and local laws."
data engineer,Capgemini,Remote,3.8,PostedPosted 30+ days ago,NaN,"Experience with coding DAGs in Airflow.
Good experience in AWS Glue, Glue Catalog and Rest APIs.",https://www.indeed.com/rc/clk?jk=59817df973ce28d8&fccid=105ecfd0283f415f&vjs=3,"Duration: 6+ months

Job Description:
Experience with coding DAGs in Airflow
Coding skills in Python
Good experience in AWS Glue, Glue Catalog and Rest APIs

The Capgemini Freelancer Gateway is enabled by a cutting-edge software platform that leads the contingent labor world for technology innovation. The software platform leverages Machine Learning and Artificial Intelligence to make sure the right people end up in the right job.

A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50 year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of over 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion."
"Data Scientist (AI/ML, AWS)",DSMH LLC,Remote,NaN,PostedPosted 11 days ago,$60 - $65 an hour,"Statistical data analysis: 3 years (Preferred).
Desired Skills: \*5+ years exp with SQL(preferred), SAS(preferred) \*Exp working with enterprise level business…",https://www.indeed.com/company/DSMH-LLC/jobs/Data-Scientist-090df4e8a9494315?fccid=cec1996c9bfed425&vjs=3,"Candidates should have strong theoretical foundation in Data Science and ability to communicate well (explain projects and answer detailed questions). Must also meet requirements for practical experience, please see previous note for those requirements.
Required: *Bachelors degree plus 5-7 years exp or Masters with 3-5 years exp *Statistical data analysis (3+ years) *ML/AL modeling (3+ years) * Python (5+ years) * Experience working with AWS (required) (3+ years)
Desired Skills: *5+ years exp with SQL(preferred), SAS(preferred) *Exp working with enterprise level business sites *understanding of business goals would be helpful **working with a team of about 8 people *working on one major project, with one more possible - Team is focusing on data telematics, particularly time series data.
Job Type: Contract
Pay: $60.00 - $65.00 per hour
Schedule:
Monday to Friday
Experience:
AI/ML: 3 years (Preferred)
Statistical data analysis: 3 years (Preferred)
AWS: 3 years (Preferred)
Work Location: Remote"
Data Scientist,Vetro Tech Inc,"Remote in New York, NY",NaN,Hiring ongoing,"$89,000 - $99,000 a year","Present information using data visualization techniques.
We want to see a passion for machine-learning and research.
Combine models through ensemble modeling.",https://www.indeed.com/company/Vetro-Tech-Inc/jobs/Data-Scientist-80d39567ba518544?fccid=4e4e1eb33c6dcc2a&vjs=3,"We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.
Responsibilities
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Skills
Proven experience as a Data Scientist or Data Analyst
Experience in data mining
Understanding of machine-learning and operations research
Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
Analytical mind and business acumen
Strong math skills (e.g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
Job Type: Full-time
Salary: $89,000.00 - $99,000.00 per year
Schedule:
Monday to Friday
Work Location: Remote
Speak with the employer
+91 6149150409"
Jr. Data Scientist,"WhirlWind Technologies, LLC",Remote,4.4,PostedPosted 30+ days ago,"$86,000 - $110,000 a year","Previous working experience as a data scientist or machine learning.
Identify and integrate tools to enhance data visualization efficiencies and effectiveness…",https://www.indeed.com/rc/clk?jk=d481a53712856322&fccid=98318de9a68e36bc&vjs=3,"Job Title/Level
Jr. Data Scientist

Location
100% Remote

Salary

$86,000-$110,000 Annually

Schedule
Full Time

Preferred Clearance
Must be able to obtain a Public Trust Clearance

Covid Vaccination

As a condition of employment, employees will be required to provide proof of their COVID-19 vaccination.

Company Overview
WhirlWind is on a mission to help each client succeed by using our management consulting and technology expertise. We design, build, and manage secure environments that support data-driven decision making and data-powered products. Our services transform governments and enhance the lives of citizens.

Our people are driven and committed to our mission. If you want to join a team of rock stars who do incredible, purposeful work, and have fun doing it, come thrive with us and be one of the heroes behind our success. We offer an attractive benefits package including a competitive base salary and have been voted the Best Place to Work for 2022.

Position Overview

WhirlWind Technologies, LLC has an immediate opening for a Junior Data Scientist with projects relating to data science, artificial intelligence (AI), or familiarity with key concepts in each field while working remotely. This role will work closely with machine learning projects' Product Owners and the customer's fellowship program. The ideal candidate is a recent graduate with 2+ years of experience with strong abilities to approach complex problems creatively, to lead their portion of work skillfully, and to help devise the delivery of thoughtful solutions as a part of a growing team. This position will report directly to the WhirlWind EDSDI Program Manager.

Top 3 Outcomes in Year 1

With your leadership and technical skills, achieve a state-of-the-art, highly automated, and interactive data visualization system
Lead and obtain organic growth of the current IT contract and client account
Achieve and/or increase customer satisfaction through mutually agreeable performance metrics

Essential Duties & Responsibilities

Develop methods and procedures for collection and analysis of data from several data sources
Monitor, review, and validate customer data is collected and processed on schedule
Automate data collection from various external data sources and data type
Lead requirements gathering from customer and stakeholders and create interactive data visualization dashboards that meet or exceed customer requirements and expectations
Identify and integrate tools to enhance data visualization efficiencies and effectiveness such as machine learning (ML), artificial intelligence (AI), and robotics process automation (RPA)
Proactively seek an understanding of the customer's business, mission, and vision to provide additional thought leadership to achieve their goals
Create clear and concise presentations as needed to communicate with the customer and stakeholders the status of projects and assigned tasks
Provide weekly written status reports and brief customer weekly on the status of the project activities

Required Qualifications

Ability to attain Public trust position
Experience in one or more of the following: Python, Julia, C, C++, R, MATLAB, Java, Scala, EMR/spark or similar
Experience designing, training, using, and/or deploying machine learning models
Comfortable implementing modern software development practices, i.e. version control, continuous integration, test-driven development, etc.
A recent graduate with a Bachelors or Master's degree in Computer Science, Engineering, or similar relevant field experience
Knowledge of application system analysis and data analytics
Knowledge of business intelligence software
Professional attitude, with a strong self-directed work ethic and the ability to work in a fast-paced, dynamic environment
Solid communication skills, both verbal and written

Preferred Qualifications

2+ years of experience in one or more of the following: Python, Julia, C, C++, R, MATLAB, Java, Scala, EMR/spark or similar
Previous working experience as a data scientist or machine learning
Basic knowledge of Agile process and principles
Outstanding communication, presentation, and leadership skills
Excellent organizational and time management skills
Sharp analytical and problem-solving skills
Attention to details"
Data Scientist,Anika Systems,Remote,NaN,PostedPosted 17 days ago,NaN,"Experienced in applying statistical and data visualization skills.
Experience with machine learning, algorithm analysis, and data clustering.",https://www.indeed.com/rc/clk?jk=3366271063a2aadc&fccid=6c6c09d5f03f3c57&vjs=3,"Anika Systems is looking for a passionate and talented Data Scientist to join our expanding Federal team. We are a fast-growing woman-owned small business providing innovative IT solutions for federal government agencies. This opportunity will be 100% remote.
Responsibilities:

Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.

Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces. Handle processing and index requests against high-volume collections of data and high-velocity data streams.

Has the ability to utilize advanced tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.

Experience with machine learning, algorithm analysis, and data clustering.

Work with visualization specialist to ensure output is captured to help understand complex problem

Requirements:

BA/BS and 4+ years of experience or equivalent experience and education
Experience in two or more of the following: Python, Machine Learning, Natural Language Processing, Computer Vision, Neural Networks

Experienced in applying statistical and data visualization skills

Experience utilizing PySpark, Databricks, MLFlow, R, Pandas, Jupyter, Tableau

Demonstrated experience in solving problems with structured and unstructured data

Must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance.
YqGZUKuXeU"
Associate Data Scientist,Underwriters Laboratories Inc.,"Remote in Northbrook, IL 60062",3.6,PostedPosted 19 days ago,NaN,"Experience in analytics / data science in a business or academic context.
Research, develop and apply new innovative analytics methods and technologies to…",https://www.indeed.com/rc/clk?jk=4fb4d8d6bb2e46d0&fccid=353853af3b99ac74&vjs=3,":
At UL, we know why we come to work.:
Thousands of us around the world wake up every day with a common purpose to make the world a safer, more secure and sustainable place. Science is in our DNA; we are endlessly curious and passionate about seeking and speaking the truth. We take delight in knowing that our work makes a meaningful contribution to society, and we are proud that our culture is centered on integrity, collaboration, inclusion and excellence. UL stands at the forefront of technological advancement, and we are continually challenged to find new ways to foster innovation and positive change. Satisfying? Yes. Exciting? Absolutely!
What you’ll learn & achieve::
Research, develop and apply new innovative analytics methods and technologies to regulatory and product data
The ability for critical thinking outside your immediate sphere of responsibility
Work with autonomy and in partnership with other Data Scientists to find solutions to complex problems
Prototype new products and solutions that have the capability to transform the industry
Ability to articulate an idea with strong communication and presentation skills
Be familiar with the state-of-the-art around data science and associated technologies and techniques
Work as part of a small team, sharing ideas and contributing to the strategic goals
What makes you a great fit::
Degree in engineering/computer/statistics or equivalent experience
Experience in analytics / data science in a business or academic context
Demonstrated experience using programming to solve complex technical problems
What you’ll experience working at UL::
Mission For UL, corporate and social responsibility isn’t new. Making the world a safer, more secure and sustainable place has been our business model for the last 125 years and is deeply engrained in everything we do.
People Ask any UL employee what they love most about working here, and you’ll almost always hear, “the people.” Going beyond what is possible is the standard at UL. We’re able to deliver the best because we employ the best.
Interesting work Every day is different for us here as we eagerly anticipate the next innovation that our customers’ create. We’re inspired to take on the challenge that will transform how people live, work and play. And as a global company, in many roles, you will get international experience working with colleagues around the world.
Grow & achieve We learn, work and grow together with targeted development, reward and recognition programs as well as our very own UL University that offers extensive training programs for employees at all stages, including a technical training track for applicable roles.
Total Rewards In the US, we provide lots of great benefits for our employees are their families. All employees are eligible for bonus compensation in addition to their annual salary. Many US employees are eligible to enroll in health, wellness and retirement saving benefits on day one of employment. We focus on providing employees with options for healthcare savings such as Healthcare Reimbursement Accounts and Health Savings Accounts (that UL contributes to twice per year!). We also have Employee Assistance Programs to support your mental health & wellbeing. UL offers a competitive 401k matching structure of up to 5% of eligible pay. Additionally, we invest 4% into your retirement saving fund after your first year of continuous employment. UL supports workplace flexibility based on team & business needs focused on provide employees stability – employees and managers work together to build a plan. We also provide employees with paid time off including vacation, holiday, sick and volunteer time off.
Learn More::
Working at UL is an exciting journey that twists and turns daily. We thrive in the twists and revel in the turns. This is our every day. This is our normal. Curious?

To learn more about us and the work we do, visit UL.com ."
Data Scientist,Hireups,Remote,NaN,PostedPosted 30+ days ago,$70 an hour,"Familiarity with machine learning algorithms applicable to model data.
The position calls for research scientists/computational protein engineers.",https://www.indeed.com/company/Hireups/jobs/Data-Scientist-44c856abbad64740?fccid=c7adcdef461c0284&vjs=3,"Data ScientistHireups Inc. – Remote
Research Scientist | Computational Protein Engineer | Remote
Job Overview:
Research Scientist | Computational Protein Engineer - Consultant | Full-Time Possible | Flexible Schedule, C2C, 100% Remote, 1099
Intro:
As a data scientist, you will be at the forefront of developing cutting-edge technology. Be a part of the collaborative and emerging scientific evolution. Hireups Inc. works alongside top engineers to build services for our clients. Join our team of data, science, and cloud professionals. Hireups provides an alternative work environment where you will have substantial opportunities to make a tangible and positive impact across various technologies.
Protein engineering is the conception and production of unnatural polypeptides, often through modification of amino acid sequences that are found in nature. Synthetic protein structures and functions can now be designed entirely on a computer or produced through directed evolution in the laboratory.
The position calls for research scientists/computational protein engineers. The ideal candidate is responsible for writing research papers and collaborating with developers. Candidates should have a background in data science, immersed
Responsibilities:
Writing research papers on different methods of protein-folding
Working with flow cytometry(a cell-analysis technique)
Screening involving DNA sequencing
Developing computational pipelines for protein engineering utilizing PyRosetta/sequence-based approaches
Engage in detailed research and collaboration with a team of scientists/developers
Required:
Excellent programming skills and mastery of one or more programming languages, including Unix, PowerShell, or Python (PyRosetta preferred)
PhD or equivalent in molecular biology, biochemistry, bioengineering, biophysics, physics, computer science, computational biology, quantitative biology, or related field
2+ years of experience with any of the following technologies: Python, Protein Folding, Data Science
Significant hands-on technical experience with modeling software such as Rosetta, Molecular Operating Environment (MOE), and/or Schrodinger
Familiarity with machine learning algorithms applicable to model data
Must be familiar with Jupyter Notebooks, Bayesian, and/or common statistics found in other Biology related projects.
Preferred:
US Citizen with core daylight hours
The ability to design and develop a rich, comprehensive protein engineering pipeline
Strong communication skills with the ability to articulate technical details to different audiences * Hands-on experience in the compilation, assembly, and development of protein structures
Five years plus of demonstrated experience working for a company in a similar roleJoin the Team!
Hireups jobs offer flexible hours with tremendous career growth. Moonlighters are welcome. Employees are offered comprehensive and beneficial training relative to their field. Here at Hireups, we focus on the health and growth of our team members.
We are an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.
LGBTQ+ friendly workplace
Age-inclusive
Job Types: Part-time, Contract
Pay: $70.00 per hour
Benefits:
Flexible schedule"
Data Scientist,Okaya Infocom,Remote,NaN,PostedToday,"$150,000 - $160,000 a year","The proven ability to work seamlessly and flexibly as part of a high-performing, multidisciplinary team.
Ability to communicate AI/ML and advanced data concepts…",https://www.indeed.com/company/Okaya-infocom/jobs/Data-Scientist-b22318e18b0c294a?fccid=2056f5ad4e7a1a62&vjs=3,"Position- Data and AI/ML Specialist
Location- 100% Remote
The Ideal Candidate Must Have:
1. 10 years’ experience and a related master’s degree.
2. A strategic--level view of the steps necessary to take an agency-wide AI/ML capability from ideation to realization including work with AI/ML or related Centers of Excellence.
1. Experience with AI/ML use case inventory development and collection from diverse business divisions and components.
2. Ability to communicate AI/ML and advanced data concepts clearly and effortlessly to senior stakeholders with varying levels of technical understanding.
3. The proven ability to work seamlessly and flexibly as part of a high-performing, multidisciplinary team.
4. A current Public Trust determination or the ability to receive a Public Trust determination.
Job Type: Full-time
Salary: $150,000.00 - $160,000.00 per year
Schedule:
8 hour shift
Experience:
Machine learning: 5 years (Required)
AI: 4 years (Required)
Work Location: Remote
Speak with the employer
+91 9870781614"
Data Scientist,Dataworks,Remote,NaN,PostedPosted 30+ days ago,"$115,000 - $140,000 a year","This is an exciting opportunity to join one of the fastest growing tech companies in the US, they are looking for an experienced Data Scientist whose role will…",https://www.indeed.com/company/Dataworks/jobs/Data-Scientist-97fa6f33aa7ec5e4?fccid=309cb047342d324b&vjs=3,"Data Scientist
United States - Remote
Competitive Salary plus Benefits and Bonus
TECH STACK: Python / R, SQL, PowerBI / Tableau
This is an exciting opportunity to join one of the fastest growing tech companies in the US, they are looking for an experienced Data Scientist whose role will be to provide key insights to business problems and work on predictive and machine learning algorithms through to deployment.
ABOUT THE COMPANY
This organisation is not only one of the fastest growing firms in the US, but they are also one of the highest rated on Glassdoor. This means you will not only have the chance to shape a fantastic career, but you will also enjoy working there! The business has invested multiple millions of dollars into their data platform, and this includes hiring a top team of senior management, all experts in their respective disciplines.
ABOUT THE ROLE
In this role you will have a crucial role in helping the business make informed decisions and implement strategies, you will work closely with the BI team to support key stakeholders. This role will require someone who has the ability to work on multiple projects while also performing high quality results.
Key things you will be responsible for are:
Providing insights from large data sets
Working on Machine Learning algorithms and deploying them
Working on predictive models
Collaboration with the BI team on projects
Gathering and transform data
SKILLS & EXPERIENCE:
To be considered you MUST have experience in the following:
Bachelor’s degree in a STEM subject
Industry experience working in Data Science / Machine Learning
Highly skilled with either Python or R
Strong presentation and communication skills
BENEFITS
The successful applicant will get the chance to work for one of the fastest growing technology brands in the US with the backing of very successful groups.
UNFORTUNATELY, THIS ORGANISATION ARE UNABLE TO TRANSFER OR SPONSOR ANY WORK VISA's AND THIS ROLE IS NOT OPEN TO CONTRACTORS
Job Type: Full-time
Salary: $115,000.00 - $140,000.00 per year
Benefits:
401(k)
Health insurance
Paid time off
Schedule:
Monday to Friday
Supplemental pay types:
Bonus pay
Application Question(s):
Will you now or in the future require sponsorship or a visa transfer?
Education:
Bachelor's (Required)
Work Location: Remote"
Data Scientist,Narvee Technologies pvt ltd,Remote,NaN,EmployerActive 2 days ago,$50 - $55 an hour,"Apply data analysis, data mining to understand and solve business problems.
4+ years of experience in analytical role (analysis, information science, data…",https://www.indeed.com/company/Narvee-Technologies-pvt-ltd/jobs/Data-Scientist-b28960fd50eb0905?fccid=4666d7523ecaca28&vjs=3,"Job Title : Data Scientist
Contract duration: 12 months
Minimum Years of experience : 7+ years
Must Have Skills:
4+ years of experience in analytical role (analysis, information science, data visualization or other relevant quantitative fields)
Ability to work with large datasets and/or Big Data using SQL, Python, or other database programming languages.
Ability to tell a story with data using reporting and data visualization tools (e.g., Spotfire, Tableau, Microsoft BI)
Nice to have skills
Understanding of Machine Learning and/or optimization tools and techniques
Understanding of Statistical tools (R, SPSS, SAS) and ability to apply concepts to derive insights
Detailed Job Description
Apply data analysis, data mining to understand and solve business problems. Collaborate with analytics, technology and business team members to align on and deploy solutions to business problems. Ability to manipulate, transform and analyze large datasets and Big Data using SQL, or Python or Pyspark Ability to tell a story with data using reporting and data visualization tools e.g., Spotfire, Tableau, Microsoft BI, Foundry Contour or Slate. Proficiency with Microsoft Excel and PowerPoint. Strong
Job Type: Contract
Salary: $50.00 - $55.00 per hour
Schedule:
8 hour shift
Experience:
Python: 1 year (Preferred)
SQL: 1 year (Preferred)
Work Location: Remote"
Data Scientist,Northbeam,"Remote in Denver, CO",NaN,PostedPosted 29 days ago,NaN,"Northbeam steps in to provide our clients with the solution for their data needs, and it pays off.
Strong skills in statistics, probability, and/or machine…",https://www.indeed.com/rc/clk?jk=a05a6d5b47ba410b&fccid=dd616958bd9ddc12&vjs=3,"About Us
Ever since the global privacy landscape changed in the last few years, having first-party data has become a requirement for e-commerce businesses. Northbeam steps in to provide our clients with the solution for their data needs, and it pays off. As a result, we've been seeing some unprecedented growth. We need your help in order to build the product that's going to power the great ecommerce brands of the future and today.

We're a remote-first company with team members in San Francisco, Los Angeles, New York, and more.
About the Role
You can expect to work on the following:

Media mix modeling: understanding the relationship between our clients' marketing inputs and marketing outputs (sales, revenue), as well as quantifying the inherent uncertainty involved
Communicating the model and its implications to non-technical stakeholders
Working with our data engineering and product teams to productize the above for our growing customer base
About You
Requirements
Expertise with Python
Strong skills in statistics, probability, and/or machine learning
Experience with differentiable programming or probabilistic programming (e.g. Tensorflow, Pytorch, JAX, Pyro, PyMC)
Ability to clearly communicate results to non-technical audiences, in English
Experience (or enthusiasm) with working in a small, fast-paced company
Good to Have
MS or PhD with research focus on quantitative or statistical methods
Experience working with marketing data
Values
Growth mindset - we're always learning and growing
Customer focus - we want to make the customer happy with our product
Ownership mentality - we think like owners in the business
Radical candor - we're transparent and give direct feedback to one another
Empathic disposition - we're kind to one another and help each other grow

Benefits
Significant equity package
Generous base salary
Healthcare Benefits (medical, dental, vision)
Travel to meet with the team"
Sr Clinical Data Analyst,Parexel,Remote,3.6,PostedPosted 5 days ago,NaN,null #LI-REMOTE EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to…,https://www.indeed.com/rc/clk?jk=ad81a64e09f3e509&fccid=a2ce486f2a6b8708&vjs=3,"null
#LI-REMOTE
EEO Disclaimer
Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status."
Data Scientist- Remote,McAfee,"Remote in San Jose, CA",3.7,PostedPosted 3 days ago,NaN,"Work with experimentation data scientists to design and execute A/B testing.
3+ years of industry experience in data science and analytics.",https://www.indeed.com/rc/clk?jk=98f1a350e194c384&fccid=800f11c47014effe&vjs=3,"Job Title:
Data Scientist- Remote
Role Overview:
As a Product Data Scientist at McAfee, you will be developing analyses and insights to support product decision-making via A/B testing and advanced analytics. You will analyze feature adoption, product engagement, retention, product funnel plus other pertinent aspects of product launch and operation.

This is a remote position in United States. We will only consider candidates
currently in United States and are not offering relocation assistance at this
time.
About the Role:
Conduct data analysis and ML modeling to extract insights and improve customer experience.
Analyze user journey and product funnel to optimize user experience with McAfee products.
Assists business with casual inferences & observations with finding patterns relationships in data.
Work with experimentation data scientists to design and execute A/B testing.
Isolate, identify and communicate data issues and own data quality for the analyses and reports produced.
Monitor and analyze data reports/dashboards/pipelines and do RCA & troubleshooting of issues that arise.
About you:
3+ years of industry experience in data science and analytics.
Self-motivated, responsible, collaborative, and accountable.
Experience with causal inference methods, such as difference in difference, matching, regression discontinuity designs, instrumental variables, including an understanding of different treatment effects.
Experience with the design and analysis of A/B testing.
Experience applying ML in product use cases.
Ability to develop confidently in SQL and Python.
Previous product analytics experience where telemetry data was used to understand how customers interacted with a product or service, which features were most used, and what experiences led to customer friction or trouble.
#LI-Remote

Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
Company Benefits and Perks:
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
Bonus Program
Pension and Retirement Plans
Medical, Dental and Vision Coverage
Paid Time Off
Paid Parental Leave
Support for Community Involvement
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
For Colorado Residents the starting salary for this position is $79,000.00. McAfee takes into consideration an individual’s skillset and experience in making salary determinations. For further details, please discuss with the Talent Acquisition Partner."
Data Scientist,Peek Vision Ltd,Remote,NaN,PostedPosted 12 days ago,"$98,000 - $116,000 a year","Build/integrate business intelligence and analytics tools that utilise available data pipelines to provide actionable insights for the business, our customers…",https://www.indeed.com/company/Peek-Vision-Ltd/jobs/Data-Scientist-cc391f56ebbbdf35?fccid=1f82f86e71b8bff4&vjs=3,"Term: Full Time
Closing Date: 21st November 2022
Location: Remote - Work from home (timezone: GMT-1 to GMT+6)*.
Working Day: Flexible working hours throughout the week. Daily collective overlapping hours are 11:00-16:00 GMT. Our Full Time work week is approximately 40 hours.
Team : Data Insights
Travel: typically, four 1-2 weeks’ international travel per annum
Benefits: Working at Peek has many benefits. Please find more information about those benefits here
To Apply: You must submit your application through our recruitment centre via this link: https://peekvision.bamboohr.com/careers/37?source=aWQ9OA%3D%3D
Millions of people worldwide are losing their sight unnecessarily. Join a mission driven award winning team who are intent on changing this.
The Role
Peek is seeking to build a dynamic team of data professionals to drive our data development, synthesis, analysis and innovation. Our software’s unprecedented ability to analyse eye health systems has become critical in strengthening the confidence of stakeholders in the eye health system by examining the needs, coverage and utilisation of limited resources to optimise access and health outcomes as well as data quality. As a result, we are establishing our software as an indispensable component of global efforts to reverse the trend of increasing visual impairment that currently affects more than a billion people.
As a part of the developing Data Insights Team, you will be accountable for Peek’s data analysis tools and processes. You will be familiar with modern data technologies, working in Agile teams and data analysis principles. You will embrace the task of surfacing value from our systems’ data for internal and external stakeholders.
The initial priority for the role will be working closely with our DevOps, data analysts and product roles to integrate our databases with a common business intelligence platform (to be chosen based on your assessment). Following this you will work with our data analysts, programme managers, product team and ultimately external stakeholders to use the BI tools to leverage our product to provide unprecedented insight into the operations of eye health services across Africa and Asia.
Peek’s staff are distributed internationally around the globe and our customers and software users operate and deliver programmes in multiple countries. Travel to programmes using Peek’s software and services in different countries will be part of the role (in line with Peek’s Travel Safety Policy). Peek’s culture enables a self managed team structure. This provides a high level of ownership and accountability within each role, and enables effective and frequent collaboration between team members and across teams.
Responsibilities and Attributes
The 5 key responsibilities of the role are:
Build/integrate business intelligence and analytics tools that utilise available data pipelines to provide actionable insights for the business, our customers and other stakeholders
Work with the organisation's data analysts, application support and DevOps to assist with data-related technical issues and analyses
Implement processes and systems to monitor data quality
Identify, design and implement internal process improvements
Create and maintain analytical tooling as data volume and complexity increases.
The 5 key attributes we have identified for the role are:
Familiarity with at least one business intelligence tool (e.g. Tableau, Google Data Studio, Microsoft BI, etc. ) including data visualisation using such tools.
Demonstrable experience with at least one statistical programming language (Python, R or similar)
Knowledge of data structures and experience of working with large datasets within an enterprise context
Demonstrable experience of articulating and translating business questions and using statistical techniques to arrive at an answer using available data
Demonstrable experience with or knowledge of Agile software development methodologies.
Desirable attributes for the role are:
MSc and/or PhD in quantitative discipline
Knowledge of machine learning methodologies (e.g. reinforcement learning)
Knowledge of public health and clinical trials statistics
Knowledge of healthcare systems
Experience in data pipeline architecture
Knowledge of NoSQL technology (e.g. MongoDB)
Authorship of peer-reviewed publications.
About Peek
1.1 billion people worldwide have preventable or curable vision loss, including 43 million who are blind. And rates are rising. Vision loss can have devastating effects on education, social status, and livelihoods. Simple, cost-effective treatments exist, like cataract operations or glasses. Further, the burden of most eye conditions is not borne equally. The majority of cases are in Africa and Asia, where eye care services are limited and people travel long distances to reach hospitals.
Peek Vision is a social enterprise that powers eye health programme providers to strengthen systems and service delivery with a software and data intelligence platform.
We are dynamic, impact-driven and award-winning . Our solutions for school & community eye health providers include:
1. Population-level eye health surveys
2. Programme design
3. Software
4. Data insights
For a brief introduction explaining how Peek powers school and community eye health programme providers to make unmet eye health needs visible, watch this Introducing Peek Vision video: https://www.youtube.com/watch?v=0Ch20cw3Rdc
Peek Capture is a smartphone app that allows non-specialists - such as teachers and community health workers - to conduct vision screening and eye health surveys in homes, communities and schools. It integrates the visual acuity check from our award-winning Peek Acuity Android App, allowing anyone to check visual acuity using a smartphone.
Peek Admin is a web platform that displays the real-time data entered in Capture, allowing healthcare providers to understand where the need is greatest and how to improve services.
They are used to power our two main offers:
Peek for School and Community Eye Health Programmes
We use Peek Capture to help eye health providers reach communities and join up local services, while data from Peek Admin helps ensure those who need treatment are reached.
We offer our public health expertise to adapt the solutions to local needs and help partners analyse the data for iterative improvement.
Peek for RAAB7
RAAB (Rapid Assessment of Avoidable Blindness) is a rapid survey methodology developed at
ICEH (International Centre for Eye Health) to identify the prevalence of eye health issues in a given population. Identifying population need is the first step to advocating for and designing impactful programmes.
Peek is an equal opportunity employer. Peek will not discriminate and will take measures to ensure against discrimination in employment, recruitment, advertisements for employment, compensation, termination, promotions, and other conditions of employment against any employee or job applicant on the bases of age, disability, gender, marital status, parenthood, race, religion or belief, sex, sexual orientation, or any other factor which may be deemed discriminatory. Further the diversity of our team is important and crucial to our impact and we seek to ensure our team has affinities or links to the communities where we are most active.
* Unfortunately we are currently unable to employ individuals resident in the following countries: India & Germany
Job Type: Full-time
Salary: $98,000.00 - $116,000.00 per year
Benefits:
Dental insurance
Employee assistance program
Flexible schedule
Health insurance
Life insurance
Paid time off
Parental leave
Professional development assistance
Retirement plan
Vision insurance
Schedule:
Monday to Friday
COVID-19 considerations:
All interviews will be held remotely via Zoom.
Application Question(s):
To be considered for this role must submit your application through our recruitment centre via the link pasted below. Please confirm you have done this.
https://peekvision.bamboohr.com/careers/37?source=aWQ9OA%3D%3D
Work Location: Remote"
Data Scientist,Narvee Technologies pvt ltd,Remote,NaN,EmployerActive 2 days ago,$50 - $55 an hour,"Apply data analysis, data mining to understand and solve business problems.
4+ years of experience in analytical role (analysis, information science, data…",https://www.indeed.com/company/Narvee-Technologies-pvt-ltd/jobs/Data-Scientist-b28960fd50eb0905?fccid=4666d7523ecaca28&vjs=3,"Job Title : Data Scientist
Contract duration: 12 months
Minimum Years of experience : 7+ years
Must Have Skills:
4+ years of experience in analytical role (analysis, information science, data visualization or other relevant quantitative fields)
Ability to work with large datasets and/or Big Data using SQL, Python, or other database programming languages.
Ability to tell a story with data using reporting and data visualization tools (e.g., Spotfire, Tableau, Microsoft BI)
Nice to have skills
Understanding of Machine Learning and/or optimization tools and techniques
Understanding of Statistical tools (R, SPSS, SAS) and ability to apply concepts to derive insights
Detailed Job Description
Apply data analysis, data mining to understand and solve business problems. Collaborate with analytics, technology and business team members to align on and deploy solutions to business problems. Ability to manipulate, transform and analyze large datasets and Big Data using SQL, or Python or Pyspark Ability to tell a story with data using reporting and data visualization tools e.g., Spotfire, Tableau, Microsoft BI, Foundry Contour or Slate. Proficiency with Microsoft Excel and PowerPoint. Strong
Job Type: Contract
Salary: $50.00 - $55.00 per hour
Schedule:
8 hour shift
Experience:
Python: 1 year (Preferred)
SQL: 1 year (Preferred)
Work Location: Remote"
Data Scientist,Northbeam,"Remote in Denver, CO",NaN,PostedPosted 29 days ago,NaN,"Northbeam steps in to provide our clients with the solution for their data needs, and it pays off.
Strong skills in statistics, probability, and/or machine…",https://www.indeed.com/rc/clk?jk=a05a6d5b47ba410b&fccid=dd616958bd9ddc12&vjs=3,"About Us
Ever since the global privacy landscape changed in the last few years, having first-party data has become a requirement for e-commerce businesses. Northbeam steps in to provide our clients with the solution for their data needs, and it pays off. As a result, we've been seeing some unprecedented growth. We need your help in order to build the product that's going to power the great ecommerce brands of the future and today.

We're a remote-first company with team members in San Francisco, Los Angeles, New York, and more.
About the Role
You can expect to work on the following:

Media mix modeling: understanding the relationship between our clients' marketing inputs and marketing outputs (sales, revenue), as well as quantifying the inherent uncertainty involved
Communicating the model and its implications to non-technical stakeholders
Working with our data engineering and product teams to productize the above for our growing customer base
About You
Requirements
Expertise with Python
Strong skills in statistics, probability, and/or machine learning
Experience with differentiable programming or probabilistic programming (e.g. Tensorflow, Pytorch, JAX, Pyro, PyMC)
Ability to clearly communicate results to non-technical audiences, in English
Experience (or enthusiasm) with working in a small, fast-paced company
Good to Have
MS or PhD with research focus on quantitative or statistical methods
Experience working with marketing data
Values
Growth mindset - we're always learning and growing
Customer focus - we want to make the customer happy with our product
Ownership mentality - we think like owners in the business
Radical candor - we're transparent and give direct feedback to one another
Empathic disposition - we're kind to one another and help each other grow

Benefits
Significant equity package
Generous base salary
Healthcare Benefits (medical, dental, vision)
Travel to meet with the team"
Data Scientist,Peek Vision Ltd,Remote,NaN,PostedPosted 12 days ago,"$98,000 - $116,000 a year","Build/integrate business intelligence and analytics tools that utilise available data pipelines to provide actionable insights for the business, our customers…",https://www.indeed.com/company/Peek-Vision-Ltd/jobs/Data-Scientist-cc391f56ebbbdf35?fccid=1f82f86e71b8bff4&vjs=3,"Term: Full Time
Closing Date: 21st November 2022
Location: Remote - Work from home (timezone: GMT-1 to GMT+6)*.
Working Day: Flexible working hours throughout the week. Daily collective overlapping hours are 11:00-16:00 GMT. Our Full Time work week is approximately 40 hours.
Team : Data Insights
Travel: typically, four 1-2 weeks’ international travel per annum
Benefits: Working at Peek has many benefits. Please find more information about those benefits here
To Apply: You must submit your application through our recruitment centre via this link: https://peekvision.bamboohr.com/careers/37?source=aWQ9OA%3D%3D
Millions of people worldwide are losing their sight unnecessarily. Join a mission driven award winning team who are intent on changing this.
The Role
Peek is seeking to build a dynamic team of data professionals to drive our data development, synthesis, analysis and innovation. Our software’s unprecedented ability to analyse eye health systems has become critical in strengthening the confidence of stakeholders in the eye health system by examining the needs, coverage and utilisation of limited resources to optimise access and health outcomes as well as data quality. As a result, we are establishing our software as an indispensable component of global efforts to reverse the trend of increasing visual impairment that currently affects more than a billion people.
As a part of the developing Data Insights Team, you will be accountable for Peek’s data analysis tools and processes. You will be familiar with modern data technologies, working in Agile teams and data analysis principles. You will embrace the task of surfacing value from our systems’ data for internal and external stakeholders.
The initial priority for the role will be working closely with our DevOps, data analysts and product roles to integrate our databases with a common business intelligence platform (to be chosen based on your assessment). Following this you will work with our data analysts, programme managers, product team and ultimately external stakeholders to use the BI tools to leverage our product to provide unprecedented insight into the operations of eye health services across Africa and Asia.
Peek’s staff are distributed internationally around the globe and our customers and software users operate and deliver programmes in multiple countries. Travel to programmes using Peek’s software and services in different countries will be part of the role (in line with Peek’s Travel Safety Policy). Peek’s culture enables a self managed team structure. This provides a high level of ownership and accountability within each role, and enables effective and frequent collaboration between team members and across teams.
Responsibilities and Attributes
The 5 key responsibilities of the role are:
Build/integrate business intelligence and analytics tools that utilise available data pipelines to provide actionable insights for the business, our customers and other stakeholders
Work with the organisation's data analysts, application support and DevOps to assist with data-related technical issues and analyses
Implement processes and systems to monitor data quality
Identify, design and implement internal process improvements
Create and maintain analytical tooling as data volume and complexity increases.
The 5 key attributes we have identified for the role are:
Familiarity with at least one business intelligence tool (e.g. Tableau, Google Data Studio, Microsoft BI, etc. ) including data visualisation using such tools.
Demonstrable experience with at least one statistical programming language (Python, R or similar)
Knowledge of data structures and experience of working with large datasets within an enterprise context
Demonstrable experience of articulating and translating business questions and using statistical techniques to arrive at an answer using available data
Demonstrable experience with or knowledge of Agile software development methodologies.
Desirable attributes for the role are:
MSc and/or PhD in quantitative discipline
Knowledge of machine learning methodologies (e.g. reinforcement learning)
Knowledge of public health and clinical trials statistics
Knowledge of healthcare systems
Experience in data pipeline architecture
Knowledge of NoSQL technology (e.g. MongoDB)
Authorship of peer-reviewed publications.
About Peek
1.1 billion people worldwide have preventable or curable vision loss, including 43 million who are blind. And rates are rising. Vision loss can have devastating effects on education, social status, and livelihoods. Simple, cost-effective treatments exist, like cataract operations or glasses. Further, the burden of most eye conditions is not borne equally. The majority of cases are in Africa and Asia, where eye care services are limited and people travel long distances to reach hospitals.
Peek Vision is a social enterprise that powers eye health programme providers to strengthen systems and service delivery with a software and data intelligence platform.
We are dynamic, impact-driven and award-winning . Our solutions for school & community eye health providers include:
1. Population-level eye health surveys
2. Programme design
3. Software
4. Data insights
For a brief introduction explaining how Peek powers school and community eye health programme providers to make unmet eye health needs visible, watch this Introducing Peek Vision video: https://www.youtube.com/watch?v=0Ch20cw3Rdc
Peek Capture is a smartphone app that allows non-specialists - such as teachers and community health workers - to conduct vision screening and eye health surveys in homes, communities and schools. It integrates the visual acuity check from our award-winning Peek Acuity Android App, allowing anyone to check visual acuity using a smartphone.
Peek Admin is a web platform that displays the real-time data entered in Capture, allowing healthcare providers to understand where the need is greatest and how to improve services.
They are used to power our two main offers:
Peek for School and Community Eye Health Programmes
We use Peek Capture to help eye health providers reach communities and join up local services, while data from Peek Admin helps ensure those who need treatment are reached.
We offer our public health expertise to adapt the solutions to local needs and help partners analyse the data for iterative improvement.
Peek for RAAB7
RAAB (Rapid Assessment of Avoidable Blindness) is a rapid survey methodology developed at
ICEH (International Centre for Eye Health) to identify the prevalence of eye health issues in a given population. Identifying population need is the first step to advocating for and designing impactful programmes.
Peek is an equal opportunity employer. Peek will not discriminate and will take measures to ensure against discrimination in employment, recruitment, advertisements for employment, compensation, termination, promotions, and other conditions of employment against any employee or job applicant on the bases of age, disability, gender, marital status, parenthood, race, religion or belief, sex, sexual orientation, or any other factor which may be deemed discriminatory. Further the diversity of our team is important and crucial to our impact and we seek to ensure our team has affinities or links to the communities where we are most active.
* Unfortunately we are currently unable to employ individuals resident in the following countries: India & Germany
Job Type: Full-time
Salary: $98,000.00 - $116,000.00 per year
Benefits:
Dental insurance
Employee assistance program
Flexible schedule
Health insurance
Life insurance
Paid time off
Parental leave
Professional development assistance
Retirement plan
Vision insurance
Schedule:
Monday to Friday
COVID-19 considerations:
All interviews will be held remotely via Zoom.
Application Question(s):
To be considered for this role must submit your application through our recruitment centre via the link pasted below. Please confirm you have done this.
https://peekvision.bamboohr.com/careers/37?source=aWQ9OA%3D%3D
Work Location: Remote"
Sr Clinical Data Analyst,Parexel,Remote,3.6,PostedPosted 5 days ago,NaN,null #LI-REMOTE EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to…,https://www.indeed.com/rc/clk?jk=ad81a64e09f3e509&fccid=a2ce486f2a6b8708&vjs=3,"null
#LI-REMOTE
EEO Disclaimer
Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status."
Data Scientist,Teachable,Remote,NaN,PostedPosted 15 days ago,NaN,"Experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques.
$250 Donation Match Program.",https://www.indeed.com/rc/clk?jk=1d586a3475e0b620&fccid=f59b8ee9bcd08930&vjs=3,"At Teachable we empower creators to transform their knowledge into income. To accomplish this, our products enable individuals and small businesses to create, host and sell online courses and coaching. Teachable Creators have tens of thousands of active creators who’ve reached more than 45 million students around the world, teaching a diverse array of topics, ranging from crafting to card tricks to coding. Fifty million people worldwide consider themselves to be creators. More than two million people earn enough from their passion projects to consider it their full-time income. The rise of the creator economy means more people than ever want to share what they know and monetize it. Teachable is poised to offer best-in-class solutions to this ever-growing market.
In 2020, Teachable was acquired by Hotmart Company, a global leader in the Creator Economy with a shared mission of empowering creators to live out their passions. With offices in eight countries and more than 35 million users worldwide, Hotmart’s partnership ensures our creators—current and future—have access to best-in-class technology tools, so they can scale their online businesses with ease and truly make an impact on their students’ lives.
We’re looking for an experienced Data Scientist to work alongside our Product team in collaborating on our product roadmap and design in order to empower creators to transform their knowledge into income.
Primarily a Python shop, our team uses Apache Airflow for ETL, a rest endpoint, and Kafka for collecting events, and we deploy in Kubernetes. The data warehouse is Amazon Redshift with federated Postgres tables, and we have plenty of data in s3 in a variety of formats. This role has a major impact on the entire organization, as the Data Scientist is the primary owner of key pieces of infrastructure and is expected to make recommendations about what technologies we should be employing in the data platform and what patterns we should be following in data engineering.
This role will report to the Senior Business Intelligence Manager.
What you’ll do
Collaborate with engineering and product development teams
Apply advanced statistical and predictive modeling techniques to data related to the optimization of checkout and user experiences
Make recommendations on focus areas in the product to improve the customer journey
Collect and clean data from various sources and translate into strategic insights and actionable product recommendations
Build, improve and maintain data-driven projects to help build critical solutions to difficult problems
What We’re Looking For
2+ years of experience as a Data Scientist
Expert level of knowledge of Python or R
Experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques
Experience preparing and cleaning data autonomously
Ability to translate business needs and requirements into technical solutions
Solid analytical and problem-solving skills
Who upholds Teachable values, including working as part of a diverse team
Additional Details:
This role is open to remote candidates in the U.S.
Applicants must be currently authorized to work in the United States on a full-time basis.
For this role, the base salary range is $125,000 - $140,000. Total compensation also includes a competitive benefits package and Restricted Stock Units (RSUs). A salary offer will be determined by a number of factors including experience, skill level, education, internal pay equity, and other relevant business considerations. We review all teammate pay and compensation programs regularly to ensure competitive and fair pay.
At Teachable, we are committed to providing fair and competitive pay (using market data to inform our pay bands), rewarding high performance, and ensuring all employees have the opportunity and ability to impact Teachable’s overall company value. Base salaries will be reviewed at regular intervals throughout the year, typically following performance review cycles currently conducted bi-annually or in conjunction with a promotion.
While Teachable maintains our NY office for local employees to use, we operate as a remote-first culture in order to give our employees added flexibility. In order to maintain connection and create a community beyond the screen, Teachable holds company-wide, in-person events 2-3 times per year, where employees and teams can come together for team bonding, strategic alignment, goal-setting, and celebrations!
Benefits:
Comprehensive Health, Dental, & Vision benefits with an option covering up to 100% of monthly premiums Generous Vacation, Personal, and Sick Time
Parental leave, 16 weeks fully paid after three months of service
4% 401(k) with match after three months of service
Supplemental student loan repayment assistance or a professional education stipend
Tax-free commuter benefit
Gym/Wellness reimbursement up to $100 in pre-tax dollars per month
One-time $500 Work from Home (WFH) purchase card for new hires and ongoing WFH monthly reimbursement for certain home expenses of up to $100 per month
Headspace subscription
$250 Donation Match Program
_
Teachable encourages individuals from a broad diversity of backgrounds to apply for positions. We are an equal opportunity employer, meaning we're committed to a fair and consistent interview process. Please tell us in your application if you require an accommodation to apply for a job or to perform your job._
Job Type: Full-time"
Machine Learning Operations Engineer (Part-Time/Consulting),EcoMetricx,"Remote in Denver, CO",NaN,EmployerActive 2 days ago,$70 - $90 an hour,"EcoMetricx employs cutting-edge AI to manage large-scale databases, extract actionable insights from complex customer data, and predict new trends.",https://www.indeed.com/company/Ecometricx/jobs/Machine-Learning-Operation-Engineer-2dd82dbb1d92e558?fccid=505284643e27c3dd&vjs=3,"Machine Learning Operations Engineer
Part-Time/Consulting
www.EcoMetricx.com
EcoMetricx is re-defining economic consulting through advanced causal analytics. We augment economic evaluation with AI and machine learning tools to advise top decision-makers at leading companies.
EcoMetricx employs cutting-edge AI to manage large-scale databases, extract actionable insights from complex customer data, and predict new trends. We design unique programs and experiments which maximize revenue and customer satisfaction using economic principles and insights from behavioral science. We build advanced custom causal statistical and machine learning tools to provide quantitative evaluations of customer behavior and forecasts.
EcoMetricx is an innovative company driven by a diverse and international team. We are looking to break through established siloes and provide creative but scientifically rigorous solutions for our clients.
We are looking for an engineer to join our machine learning team immediately to
Interact with key client decision makers (CTO, Tech VPs, etc.) to understand their vision, gather requirements, and offer relevant insight based on experience in the field
Design optimal database strategies to support client vision and product development
Work in a collaborative team setting to expand and maintain our growing ML platform and infrastructure
Want to learn new languages, paradigms, patterns, and frameworks
Enjoy using your creativity and resourcefulness to tackle unexpected challenges
Your Experience
Bachelor’s degree in relevant field such as Computer Science
Proven experience with SQL Server, Azure, AWS, Terraform, containerization tools (e.g., Docker), and/or orchestration systems (e.g., k8s)
Strong understanding of security best practices in cloud and applications development
Advanced python and related programming skills
Basic understanding and willingness to learn machine learning algorithms and concepts
Well-versed in data base design and optimization
Excellent problem-solving skills
Strong organizational skills, an orientation toward detail, and collaboration oriented.
Your Personality
Quick and independent learner
Rigorous and detail-oriented scientific thinker
Team player
Motivated and inquisitive problem solver
Benefits
We are hiring worldwide, so we cannot add specific compensation here. Please tell us about your comp expectations when you apply so we can make sure there is a fit. Be sure we are paying competitively.
Diversity
We are striving to create a work environment welcoming for everyone. We hire great people from diverse backgrounds, not only because it’s the right thing to do but because we believe it makes our team stronger. We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law.
Ready to apply?
Please follow this link and apply there with your CV: https://jobs.gohire.io/K9N4Nv7g/110579/
Job Types: Part-time, Contract
Pay: $70.00 - $90.00 per hour
Benefits:
Flexible schedule
Schedule:
Monday to Friday
COVID-19 considerations:
fully remote position
Application Question(s):
What is your preferred compensation in USD?
Experience:
Python: 1 year (Preferred)
SQL: 1 year (Preferred)
Work Location: Remote"
Data Analyst (Remote),Cognizant,"Remote in New York, NY",3.9,PostedPosted 2 days ago,"$120,000 - $130,000 a year","This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of…",https://www.indeed.com/rc/clk?jk=9959047549ab97ed&fccid=2df6a1e69a70a1e7&vjs=3,"We are Cognizant Artificial Intelligence
Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.
With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks.
*You must be legally authorized to work in USA without the need for employer sponsorship, now or at any time in the future *
1. Job title: Data Analyst
2.J ob summary
5-6 exp as data analyst
experience in traditional datawarehouses
3. Experience: 5 to 8 yrs
4. Required Skills
Technical Skills: Python, PySpark, AWS
5. Nice to have skills
Technical Skills: DB scripting
5-6 experience as data analyst, experience in traditional datawarehouses, hands on experience on complex sql, experience working with huge databases, experience with Healthcare, 2-3 Experience with Postgres, AWS Python Pyspark experience is a plus.
6. Technology: Informatica
7. Shift: Day GENERAL
The annual salary for this position is between $120- $130k depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
#LI-PF1 #CB #Ind123
Employee Status : Full Time Employee
Shift : Day Job
Travel : No
Job Posting : Nov 17 2022
About Cognizant
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @USJobsCognizant.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
If you have a disability that requires a reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information."
Data Scientist,Tubi,"Remote in San Francisco, CA",NaN,PostedPosted 30+ days ago,"$130,000 - $159,000 a year","Uncover insights to ensure data-driven decision making.
Experience with product analytics and working with event level data.",https://www.indeed.com/rc/clk?jk=4d9c7104fe8f3182&fccid=037150182eaec9aa&vjs=3,"Join Tubi (www.tubi.tv), a division of FOX Entertainment, a premium streaming service leading the charge in making entertainment accessible to all. Headquartered in San Francisco, Tubi is an ad-supported video on demand (AVOD) service with movies and television shows. With over 40,000 titles from every major Hollywood studio, Tubi gives fans of movies and television shows an easy way to discover new content that is available completely free. Tubi's library has something for every member of our diverse audience, and we're committed to building a workforce that reflects that diversity. We're looking for great people who are creative thinkers, self-motivators, and impact-makers looking to help shape the future of streaming. Our services are currently available in the US, Canada, Australia, New Zealand, and Mexico.
About the Role:
We are looking for a curious and enthusiastic Data Scientist to join our growing team. You will work cross-functionally with Product, Engineering, Revenue, Content, Growth, and Business/Executive teams to ensure that all major decisions are data-driven. You will be supported by a close-knit team of Data Scientists and will have an opportunity to drive projects end-to-end, from ideation to implementation. Your insights will have a direct impact on the future of Tubi.
Responsibilities:
Uncover insights to ensure data-driven decision making
Build inferential, forecasting, and machine learning models to solve business problems
Design and run experiments to drive an improved streaming user experience
Build and maintain high quality data infrastructure that is easily used by less technical audiences
Your Background:
2-4 years experience in a similar role
Strong SQL and a scripting programming language (Python, R or Scala) are a must
Experience with A/B testing and experiment design
Experience with product analytics and working with event level data
Solid understanding of machine learning algorithms: supervised learning algorithms, unsupervised learning algorithms, dimensionality reduction techniques
Strong communication, presentation, and collaboration skills
Video streaming industry experience is a plus
Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is $130,000.00- $159,000.00 annually for Colorado. This role is also eligible for an annual discretionary bonus, long term incentive plan, and various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.
This job cannot be performed in NYC or Westchester County, NY.
#LI-MJ #LI-Remote
Tubi is proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company."
Data Scientist,US Department of Energy - Agency Wide,"Remote in Wallops Island, VA",NaN,PostedPosted 30+ days ago,"$44,740 - $176,300 a year",Your RESUME showing all relevant work experience (paid and unpaid) including: duties performed; full name and address of the each employer; start and end dates …,https://www.indeed.com/rc/clk?jk=a235105419af586e&fccid=d84d5836eedde2eb&vjs=3,"Duties
This series covers positions managing, supervising, leading, and/or performing administrative and management work.
Vacancies filled under this public notice may have varying levels of promotion potential and supervisory level, if any.
Positions may be filled as permanent, term, or temporary with a full-time or part-time work schedule.
As a Data Scientist you may:
Develops and oversees computational algorithms and statistical methods that find patterns and relationships in large volumes of data sourced from advanced hardware and software.
Designs and oversees data modeling processes, create algorithms and predictive models to extract data.
Develops acquisition data analytics budget to implement strategy, advocates and explains budget goals to DOE, interagency, OMB, and Legislative Branch officials.
Research and development of project management for statistical data analytics to evaluate, design and develop analytical procedures and processes.
Computational algorithms and statistical methods that find patterns and relationships in large volumes of data sourced from advanced hardware and software.
Presents results to the scientific community at professional meetings and conferences.
Requirements
Conditions of Employment
Must be a U.S. Citizen or National.
This employer participates in the e-Verify program.
Males born after 12/31/1959 must be registered for Selective Service.
Subject to satisfactory security and suitability requirements.
May be required to successfully complete a probationary period.
Positions may be filled as permanent, term, or temporary with a full-time or part-time work schedule. Pay will vary by geographic location.
The vacancies filled through these appointments have varying levels of background investigative requirements, up to a Top Secret DOE ""Q"" clearance.
These positions are to be filled under the Infrastructure Investment and Jobs Act (IIJA - P.L. 117-58).
Qualifications
SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-07: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-05 grade level in the Federal Service. Specialized experience for this position includes:
Participating in analyzing data modeling concepts; AND
Reviewing data for trends from multiple systems.
OR EDUCATION: One full year of graduate level education.

OR Superior Academic Achievement: Based on a bachelor's degree that is demonstrated through class standing (upper 1/3 of class); grade point average (3.0/4.0 overall or 3.5/4.0 in major), or election to membership in a qualifying national scholastic honor society.

OR COMBINATION: You may qualify on a combination of education and experience, the total percentage of experience at the required grade level compared to the specialized experience requirement, as well as the percentage of completed education compared to the educational requirement must equal at least 100 percent.


SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-09: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-07 grade level in the Federal Service. Specialized experience for this position includes:
Analyzing and interpreting data modeling, algorithms, and coding data requirements.; AND
Reviewing, analyzing, and providing information from multiple systems to prepare data reports.
OR EDUCATION: Master's or equivalent graduate degree or two (2) full years of progressively higher-level graduate education leading to such a degree. TRANSCRIPTS REQUIRED.

OR COMBINATION: You may qualify on a combination of education and experience. The total percentage of experience at the required grade level compared to the requirement, must equal at least 100 percent. Only graduate level education more than the first 18 semester hours (27 quarter hours) may be combined to be considered for qualifying education. TRANSCRIPTS REQUIRED.


SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-11: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal Service. Specialized experience for this position includes:
Applying and developing data adaptive algorithms, machine learning and other AL systems; AND
Reviewing, analyzing, and providing information from multiple systems to prepare data reports; AND
Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation.
OR EDUCATION: Ph.D. or equivalent doctoral degree or three (3) full years of progressively higher-level graduate education leading to such a degree. TRANSCRIPTS REQUIRED.

OR COMBINATION: You may qualify on a combination of education and experience. The total percentage of experience at the required grade level compared to the requirement, must equal at least 100 percent. Only graduate level education more than the first 36 semester hours (54 quarter hours) may be combined to be considered for qualifying education. TRANSCRIPTS REQUIRED.


SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-12: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal Service. Specialized experience for this position includes:
Applying and developing data adaptive algorithms, machine learning and other AL systems; AND
Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation, AND
Applying statistical analyses to determine the fitness-for-use of new or combined data sources, machine learning outputs, and data science methods.
NOTE: There is no substitution of education for specialized experience at the GS-12 level.


SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-13: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal Service. Specialized experience for this position includes:
Designing and developing data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence; AND
Conducting analysis using software and/or programming languages such as R, Python, or SAS to test hypotheses and predict outcomes; AND
Using data tools and techniques to process large, datasets into structured formats for matching, analysis, or estimation
NOTE: There is no substitution of education for specialized experience at the GS-13 level.


SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-14: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal Service. Specialized experience for this position includes:
Designing and developing of data analytics/science related products using techniques such as machine learning, natural language processing, robotics process automation, and artificial intelligence; AND
Conducting analysis using software and/or programming languages such as R, Python, or SAS to test hypotheses and predict outcomes; AND
Identifying problematic issues and reporting discrepancies and providing appropriate recommendations to leadership.
NOTE: There is no substitution of education for specialized experience at the GS-14 level.


SPECIALIZED EXPERIENCE REQUIREMENTS FOR GS-15: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-14 grade level in the Federal Service. Specialized experience for this position includes:
Evaluating impacts of new policies and procedures to determine the effectiveness in meeting goals and objectives of a department or division; AND
Leading or supervising a team of data analysts that research, design, and development data science techniques (such as machine learning, natural language processing, robotics process automation, and artificial intelligence); AND
Planning, organizing, and presenting data science and data visualization techniques-based reports showcasing data-driven insights to organizational leadership and various program offices.
NOTE: There is no substitution of education for specialized experience at the GS-15 level.
""Experience"" refers to paid and unpaid experience. Examples of qualifying unpaid experience may include: volunteer work done through National Service programs (such as Peace Corps and AmeriCorps); as well as work for other community-based philanthropic and social organizations. Volunteer work helps build critical competencies, knowledge, and skills; and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

OPM Qualification Standards for the GS-1560 series can be found at the following website: Data Science Series, 1560, OPM

CTAP/ICTAP candidates: To be considered ""well qualified"" you must meet all of the requirements as described in this section.

This public notice may be used to fill multiple positions as needed; therefore, applicants must meet the qualifications at the time the applications are reviewed.
Education
All grades for the 1560 series have a positive education requirement that must be met.
Basic Education Requirement
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Education must be obtained from an accredited institution recognized by the U.S. Department of Education. Foreign education must be reviewed by an organization recognized by the U.S. Department of Education. For special instructions pertaining to foreign education and a list of organizations that can evaluate foreign education, see the Department of Education website.

Transcripts must be provided.
Additional information
The U.S. Department of Energy fosters a diverse and inclusive workplace and is an Equal Opportunity Employer.
Your position may be eligible for workplace flexibilities which may include remote work or telework options, and/or flexible work scheduling. These flexibilities may be requested in accordance with the DOE Workplace Flexibilities policy.
This job opportunity announcement may be used to fill additional similar vacancies across DOE.
For general information on government-wide Telework polices visit: www.telework.gov
Status and Non-Status applicants from outside DOE selected under this authority are required to serve a mandatory one (1) year probationary period. A DOE career status employee selected for this position may be required to serve a new one (1) year probationary period, pursuant to 5 CFR 315.802.
If you believe that you are eligible for the Interagency Career Transition Assistance Program (ICTAP), please visit the OPM ICTAP/CTAP website for more information. In order to be considered under the ICTAP program, your application must score within the pre-established ""well qualified"" category as stated in the Qualifications section.
This public notice is to gather applications that may or may not result in a referral or selection.
More than one selection may be made under this hiring authority.
Some positions may require completion of a probationary period of up to 1 (one) year.
Many positions require successful completion of a background investigation.
Positions may be filled at varying levels of leadership, ie Team Lead, Manager, Supervisor.
Supervisory positions may require a 1-year probationary period, if not yet completed.
New employees to the Department of Energy will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit www.dhs.gov/E-Verify
Veterans and persons with disabilities are encouraged to apply. For more information, please visit the links at the bottom of this page or visit the FedsHireVets website.
All males born after December 31st 1959 must abide by laws regarding Selective Service registration. To learn more about this law, visit the Selective Service web page, Who Must Register. If you are not registered and don't have an approved exemption, you will not be eligible for employment with the Federal government.
Relocation or Recruitment Incentive may be authorized.
This position may be 100% remote.
EEO Policy: https://help.usajobs.gov/index.php/EEO_Policy_Statement
Reasonable Accommodation Policy: https://help.usajobs.gov/index.php/Reasonable_Accommodation_Policy_Statement
Veterans Information: https://help.usajobs.gov/index.php/Veterans_Information
Selective Service Registration: http://www.sss.gov/

Benefits
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
How You Will Be Evaluated
You will be evaluated for this job based on how well you meet the qualifications above.
You will be evaluated for this job based on how well you meet the qualifications above.
This position is announced under a Direct Hire Authority (DHA) for Data Science positions in the GS- 1560 series. Under this Direct-Hire authority, applicants are required to meet minimum qualification requirements at the grade level(s) of interest. Veteran's Preference, Schedule A, Category Rating, and other methods of consideration DO NOT APPLY under Direct-Hire Authority regulations.

Appointments made under this authority will be processed as new appointments to the Civil Service. Current Civil Service employees would, therefore, be given new appointments to the Civil Service. Current Federal employees may be required to serve a new probationary period (5 CFR 315.802(b).

If your resume is incomplete or does not support the responses you provided in your online questionnaire, or if you fail to submit all required documentation before the vacancy closes, you may be rated 'ineligible', 'not qualified', or your score may be adjusted accordingly.

Successful candidates will possess the following competencies (knowledge, skills, abilities and other characteristics):

Data Management
Database Administration
Reasoning
Research
Stamina


You must meet all qualifications and eligibility requirements by the closing date (12/31/2022) of this announcement.

To preview the Assessment Questionnaire, clickhttps://apply.usastaffing.gov/ViewQuestionnaire/11612791.
Benefits
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
Required Documents
As a new or existing federal employee, you and your family may have access to a range of benefits. Your benefits depend on the type of position you have - whether you're a permanent, part-time, temporary or an intermittent employee. You may be eligible for the following benefits, however, check with your agency to make sure you're eligible under their policies.
To apply for this position, you MUST provide a complete application package which includes:
Your RESUME showing all relevant work experience (paid and unpaid) including: duties performed; full name and address of the each employer; start and end dates (month/day/year); work schedule (part-time, full-time, number of hours if intermittent); salary; and any completed education and training (program title, subject area, number of hours completed, and completion date).
Cover Letter, optional, expressing additional information not covered in your resume.
Transcripts, if specific educational requirements are indicated in this job announcement. Unofficial transcripts or any report listing institution, course title, credits earned (semester or quarter hour) and final grade is acceptable. It is your responsibility to provide adequate proof that you meet the educational requirements.
Veterans' Preference documentation,if applicable, DD-214 Member Copy 4 showing type of discharge/character of service; current active duty members- certification of expected discharge or release from active duty under honorable conditions dated within 120 days; SF-15 Form and related documentation; VA letter. For more information visit the USAJOBS Help Center & OPM CHCOC website for VOW information.
Career Transition Assistance Program/Interagency Career Transition Assistance Program documentation, if applicable(e.g., Certification of Expected Separation, Reduction-In-Force Separation Notice, or Notice of Proposed Removal; SF-50 that documents the RIF separation action; and most recent performance appraisal.) For more information see the OPM Guide to Career Transition.
Failure to submit any of the above mentioned required documents may result in loss of consideration due to an incomplete application package. It is your responsibility to ensure all required documents have been submitted.
If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
How to Apply
Please read the entire announcement and all the instructions before you begin an application. To apply for this position, you must complete the initial online application, to include submission of the required documentation specified in the Required Documents section. A complete application package must be submitted by 11:59 PM (EST) on the announcement closing date to receive consideration.

The application process is as follows:
You must have a login.gov account to sign into USAJOBS: https://www.usajobs.gov/Help/how-to/account/.
To begin the application process in USAJOBS, click the Apply Online button.
Answer the questions presented in the application and attach all required and supporting documentation.
You must click the Submit Application button prior to 11:59 pm (ET) on the announcement closing date.
In addition to applying to this Job Opportunity Announcement, interested candidates are encouraged to express interest via DOE's Applicant Portal. The Applicant Portal allows candidates to align their talents with their passion by indicating specific areas of interest and allow hiring managers throughout the agency to search and review candidate resumes simultaneously to find the best fit for YOU in DOE. Failure to do so may result in loss of consideration for BIL positions. The Applicant Portal allows those interested to align their talents with their passion by indicating specific areas of interest.
You may update your application, including supporting documentation, at any time during the announcement open period by returning to your USAJOBS account, select Update Application: https://my.usajobs.gov/Account/Login. This option will no longer be available once the announcement has closed.

To verify the status of your application, during and after the announcement open period, log into your USAJOBS account; applications will appear on the Welcome screen. The Application Status will appear along with the date your application was last updated. For information on what each application status means, visit: https://www.usajobs.gov/Help/how-to/application/status/.

If you need help with login.gov or USAJOBS (e.g., account access, Resume Builder) visit the USAJOBS Help Center: https://www.usajobs.gov/Help/

If you experience difficulty applying on USAJOBS, after clicking the Apply Online button, or you are experiencing a significant hardship hindering your ability to apply online, the Agency Contact listed in the announcement can assist you during normal business hours. If you receive any system error messages, take screenshots if possible, to aid technical support.

These positions are to be filled under the Infrastructure Investment and Jobs Act (IIJA - P.L. 117-58). This serves as a public notice for the use of the Direct Hire Authority in accordance with 5 U.S.C. 3327 and 5 CFR 330. Under this recruitment procedure, applications will be accepted for each location/ installation identified. There may or may not be actual/projected vacancies at the time of your application.
Agency contact information
DHA Questions
Phone
000-000-0000
Email
dhaquestions@hc.doe.gov
Address
Office of Environment, Health, Safety, and Security
P.O. Box 5088
Oak Ridge, TN 37831
US
Next steps
Once your online application is submitted you will receive a confirmation notification by email. The status of your application will be updated in USAJOBS as it is evaluated.

You can check the status by logging into USAJOBS. You may also sign up to receive automatic emails anytime the status of your application changes by logging into your USAJobs Account and editing the Notification Settings.

You will be contacted directly if an interview is required.

A Recruitment Incentive May Be Authorized for a newly selected employee when appointed to a permanent, temporary, or term position. A Federal employee who is transferring to the Department of Energy from another Federal agency and who does not meet the conditions under 5 CFR §575.102 is not eligible for a recruitment incentive.
Fair and Transparent
The Federal hiring process is set up to be fair and transparent. Please read the following guidance.
Equal Employment Opportunity (EEO) Policy
Reasonable accommodation policy
Financial suitability
Selective Service
New employee probationary period
Signature and false statements
Privacy Act
Social security number request
Required Documents
To apply for this position, you MUST provide a complete application package which includes:
Your RESUME showing all relevant work experience (paid and unpaid) including: duties performed; full name and address of the each employer; start and end dates (month/day/year); work schedule (part-time, full-time, number of hours if intermittent); salary; and any completed education and training (program title, subject area, number of hours completed, and completion date).
Cover Letter, optional, expressing additional information not covered in your resume.
Transcripts, if specific educational requirements are indicated in this job announcement. Unofficial transcripts or any report listing institution, course title, credits earned (semester or quarter hour) and final grade is acceptable. It is your responsibility to provide adequate proof that you meet the educational requirements.
Veterans' Preference documentation,if applicable, DD-214 Member Copy 4 showing type of discharge/character of service; current active duty members- certification of expected discharge or release from active duty under honorable conditions dated within 120 days; SF-15 Form and related documentation; VA letter. For more information visit the USAJOBS Help Center & OPM CHCOC website for VOW information.
Career Transition Assistance Program/Interagency Career Transition Assistance Program documentation, if applicable(e.g., Certification of Expected Separation, Reduction-In-Force Separation Notice, or Notice of Proposed Removal; SF-50 that documents the RIF separation action; and most recent performance appraisal.) For more information see the OPM Guide to Career Transition.
Failure to submit any of the above mentioned required documents may result in loss of consideration due to an incomplete application package. It is your responsibility to ensure all required documents have been submitted.
If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

Help
This job is open to
The public
U.S. Citizens, Nationals or those who owe allegiance to the U.S.
Clarification from the agency
U.S. Citizens- This direct hire public notice is to gather applications that may or may not result in a referral or selection."
Data Scientist (NBA),Swish Analytics,"Remote in San Francisco, CA 94133",NaN,PostedPosted 30+ days ago,NaN,"Bachelor/Master degree in Data Analytics, Data Science, Computer Science or related technical subject area.
1-3+ years of demonstrated experience developing and…",https://www.indeed.com/rc/clk?jk=1a840c3c9f8647cd&fccid=e632785cd75868e9&vjs=3,"Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for a Data Scientist to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. We're hiring a Data Scientist to support our NBA and college basketball models.
Duties:
Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
Develop contextualized feature sets using sports specific domain knowledge.
Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
Adhere to software engineering best practices and contribute to shared code repositories.
Document modeling work and present to stakeholders and other technical and non-technical partners.
Requirements:
Bachelor/Master degree in Data Analytics, Data Science, Computer Science or related technical subject area
Experience developing models for production scale with a high preference for NBA, college or professional basketball.
Knowledge in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods.
1-3+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs.
Experience with relational SQL & Python.
Experience with source control tools such as GitHub and related CI/CD processes.
Experience working in AWS environments etc.
Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
Excellent communication skills to both technical and non-technical audiences.
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks."
Transportation Data Scientist,University of Maryland,"Remote in College Park, MD 20742",4.1,PostedPosted 30+ days ago,"$100,000 a year","Manage junior data scientists and student interns.
When you join our team, you will work with software engineering professionals and transportation experts to…",https://www.indeed.com/rc/clk?jk=c289b378c0dcdc89&fccid=fd1f6255717cee80&vjs=3,"Posting Details
Vaccine Protocol
Posting Details
Position Number:
04111007

Title:
Faculty Specialist

Functional Title:
Transportation Data Scientist

Category Status:
15-Fac.Non-Tenured,Continuing Con

Applicant Search Category:
Faculty

University Authorized FTE:
100

Unit:
ENGR-Civil-Center for Advanced Transportation Technology

Hiring Range Minimum:
$100,000

Hiring Range Maximum:
$150,000

Campus/College Information:
Founded in 1856, University of Maryland, College Park is the state’s flagship institution. Our 1,250-acre College Park campus is just minutes away from Washington, D.C., and the nexus of the nation’s legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our faculty and students abound and are virtually limitless in the nation’s capital and surrounding areas. The University is committed to attracting and retaining outstanding and diverse faculty and staff that will enhance our stature of preeminence in our three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and in the world.

Background Checks
Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify you from employment.

Vaccine Protocol
The University of Maryland has made the safety of our students, faculty and staff, and our surrounding communities a top priority. As part of that commitment, the University requires that students, faculty, and staff on the UMD campus be vaccinated against COVID-19. As a prospective and/or a new employee at UMD, you will be required to comply with the University’s vaccination protocol. Proof of full vaccination will be required before the start of employment in order to work at any University of Maryland location. Prospective or new employees may seek a medical or religious exemption to the vaccination requirement at return.umd.edu and must have an approved exemption prior to the start of their employment. Failure to provide proof of vaccination or to obtain approval for a medical or religious exemption will result in the offer of employment being rescinded.

Position Summary/Purpose of Position:
The Center for Advanced Transportation Technology (CATT) Laboratory is the industry leader for transportation information analysis, visualization, and user interface design. We provide cutting-edge analytics products and an integrated product suite of situational awareness tools for transportation practitioners. These products and services are rapidly changing the way governments operate and make decisions.
We receive hundreds of gigabytes of transportation data daily making our petabytes of archived data likely the largest collection of traffic data in the world. Our clients use our software to analyze that data to generate valuable insights. Our work saves taxpayer money, improves the environment, and saves lives!

We’re as passionate about transportation as we are about building great software. We care about building usable, stable, and secure software to analyze massive amounts of data. We use cutting-edge tech to build and maintain our software. We have a mature development process and use industry best practices to build the best software possible. Our team is composed of developers, analysts, testers, UX designers, data scientists, and customer support operating in an Agile environment.
Our office is in College Park near the University of Maryland, easily accessible by DC Metro, MARC train, bus, car, and bike. Local employees are welcome to work from the office or other locations with a flexible schedule around our core hours. We also have many employees who are fully remote and work from different states. UMD requires all employees to live in the US.
We believe varied perspectives build better products, are proud to have a diverse team, and encourage people of all backgrounds to apply.
When you join our team, you will work with software engineering professionals and transportation experts to develop technical methodologies and approaches to transportation big data projects, perform data extraction, cleansing, and transformation, identify potential funding opportunities, lead composition of research reports and journal articles, and manage junior data scientists and student interns.
Essential duties and responsibilities include ability to independently:
Develop analytical and statistical techniques (e.g., hypothesis testing, confidence intervals, descriptive statistics, correlation, regression, etc.)
Develop and implement technical methodologies for big data projects
Implement machine learning models to enhance CATT Lab’s current suite of tools
Perform data extraction, cleansing, and transformation of large datasets for statistical analysis
Identify new datasets for integration with existing tools
Manage junior data scientists and student interns
Assist in developing UI/UX designs for analytical tools
Identify potential funding opportunities
Assist in writing proposals
Lead composition of research reports, journal articles, and other technical documents
Represent the Lab at professional conferences
Assist in recruitment of new employees
Accurately estimate effort for work tasks
Coordinate and collaborate with developers, project managers, and other technical staff

Minimum Qualifications:
Education:
M.S. Degree in Computer Science, Transportation Engineering, or related field


Experience:
5+ years of expertise with R, Python, SQL and MS Excel
3+ years of experience in predictive modeling, especially with machine learning techniques
1+ years of experience in managing data scientists and/or researchers

Knowledge, Skills, and Abilities:
Extensive knowledge and experience with transportation engineering topics
Strong background in transportation data collection methods and technologies
Strong MS Office skills and ability to concisely communicate approach and results to technical and non-technical audiences (verbal/written)

Preferences:
Preferred Knowledge, Skills, and Abilities:
Familiarity with transportation reference manuals (e.g., HCM, MUTCD, AASHTO Green Book, and HSM)
Expertise in transportation system performance measures
Understanding of public agency perspectives on safety, mobility, and sustainability

Additional Certifications:

Additional Information:
The A. James Clark’s Department of Civil and Environmental Engineering ranks in the top 20 public civil engineering undergraduate programs in the country according to the US News and World Report Rankings. In addition to the MTI center, new centers and institutes that have been established include the Maryland Energy Innovation Institute (MEII), the Robert E. Fischell Institute for Biomedical Devices (REFBDI), and the Quantum Technology Center (QTC). The innovation and entrepreneurship programs on campus recently brought the University to the top 10 in Entrepreneurship Magazine.
The University is located close to NSF, NIH, and other funding agencies, and has strong research ties with government research labs, corporations, and start-ups. The Washington DC area has three major airports and a vibrant culture, is reachable by metro, and has primary and secondary schools that are among the best in the nation. The University is committed to attracting and retaining outstanding and diverse faculty and staff who will enhance our stature of preeminence in the three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and the world.
Some notable facts include:
Received the 8th largest gift in history to a public higher education institution from A. James & Alice B Clark Foundation of $220M. This includes funding to assist faculty and attract and fund first-year domestic Ph.D. students.
Faculty work with over 60 competitive teams and student societies that are nationally ranked, such as SAE top 20 finish in Baja 2018 Competition, Solar Decathlon 1st place in US in 2017, and 1st in American Helicopter Society Student competition.
2 NAE members affiliated with Civil and Environmental Engineering.
Dedicated external relations staff to help promote faculty research, which has been featured on covers of Washington Post, New York Times, CNN, ABC, Fox News, People Magazine.
Opened Clark Hall in January 2018 with almost 40,000 sq ft of lab space and an innovation lab for capstone design projects and student teams.
The Great College Park initiative is a $1B public-private investment in the town that is the home of UMD. It is creating not only a dynamic and innovative academic environment, but also a vibrant
downtown community with restaurants, new residential units, live music and amenities.

Posting Date:
10/07/2022

Closing Date:

Open Until Filled
Yes

Best Consideration Date
10/31/2022

Physical Demands

Diversity Statement:
The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.
Women, minorities, LGBTQ+, veterans, and people with disabilities are encouraged to apply."
Data Scientist (ALL LEVELS),Noblis,"Remote in Reston, VA 20191",4.0,PostedPosted 30+ days ago,NaN,The Data Scientist has familiarity with industry best practices for software/hardware optimization when processing large data sets and offers experience in the…,https://www.indeed.com/rc/clk?jk=984b3a2bd9824f07&fccid=05d6cb8b919478a9&vjs=3,"Responsibilities:
Noblis is seeking to hire Data Scientists (All Levels) with an active Top Secret/SCI with Polygraph in Reston, VA

As a Data Scientist with our team, you will be working to innovate with our federal clients to develop and maintain data guidelines, analytic programs, and database management systems to support programs essential to national security. In your role, you will learn and understand existing and planned data architectures and models, and help to develop creative approaches to modernization and design for analysis. You will also contribute to exploring emerging technology trends in data management and data science, and developing engineering proofs-of-concept to understand potential applicability of these technologies. The data scientist will be working closely with federal clients providing services to develop AI/ML models and weights to selected data to facilitate object detection, data triage, search/optimization, inference, facial recognition, behavior detection, and automated discovery and decision making, maintaining model versioning system and experience identifying new vulnerabilities in models.

This role is client-facing, and involves collaboration with a wide range of partners, from senior agency leadership, to subject matter experts, to contractors performing project work.

Begin developing relationships one level up and two levels down. Identify and support opportunities to expand project scope beyond current deliverable and actively share information about clients’ emerging support needs and trends with team members and management.

Qualifications:
Required:
Entry-Level: Bachelor's Degree +3-5 years of professional work experience or Master's Degree + 1-2 years of professional work experience
Senior-Level: Bachelor's Degree +7 years of professional work experience or Master’s Degree + 4-6 years of professional work experience
Active Top Secret/SCI with Polygraph
Desired skills and knowledge:
The ideal candidate has proficiency with major data science tools and languages such as PostgreSQL/SQL, Python, R, NiFi, and Git
Demonstrated experience with cleaning, managing, optimizing performance with, and processing large volumes of data
The Data Scientist has familiarity with industry best practices for software/hardware optimization when processing large data sets and offers experience in the following required task areas: experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics; experience with Hadoop, Spark, or other parallel storage/computing processes is a plus
#Externalreferral
Client Engagement: · Learn about the Noblis business development lifecycle, processes, tools, and account structure · Contribute specialized domain or technical content to proposal sections or client white papers · Build a productive relationship with your client and understand their structure and goals Overview:
With the continuing impacts of COVID-19 around the world, we are taking action to protect the health and well-being of our colleagues and maintain the safety of the communities where we operate. Noblis seeks an environment free from COVID-19 and prefers all employees to be fully vaccinated for COVID-19. Attestation of vaccination status will be required for employment with Noblis. Unvaccinated employees may be subject to additional health and safety requirements to include any federal, state and/or client restrictions.

Noblis and our wholly owned subsidiaries, Noblis ESI, Noblis MSD and Noblis + Mikros Systems tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Learn more at Noblis -About Us

Why work at a Noblis company?
Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards. Noblis maintains a drug-free workplace.

Noblis is an Equal Opportunity Employer. Employment decisions are made without regard to race (as well as because of or on the basis of traits historically associated with race, including hair texture, hair type, and protective hairstyles such as braids, locks, and twists), color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law.

Noblis is committed to the full inclusion of all qualified individuals. As part of this commitment, Noblis will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact employee-relations@noblis.org."
Data Scientist,McAfee,"Remote in San Jose, CA",3.7,PostedPosted 3 days ago,NaN,"You will have 2+ years of experience in one or more of the following areas: machine learning (including deep learning), recommendation systems, pattern…",https://www.indeed.com/rc/clk?jk=745a2089396b3a36&fccid=800f11c47014effe&vjs=3,"Job Title:
Data Scientist
Role Overview:
Role Overview:

We are looking for a Data Scientist who will be part of a critical and highly visible role to join our team of Data Scientists. Are you looking to make an impact in Data Science and Analytics? Come be a part of the change as we move into a new era here at McAfee. Mission driven, both at company and functional level, we share a passion for customers at the core. You will report to the Senior Manager of Data Science (Machine Learning). Data Science at McAfee is going through an exciting phase – it’s a great time to jump in!

This is a remote position in US. We will only consider candidates currently in United States and are not offering relocation assistance at this time.
About the role:
Develop, implement, and deploy machine learning models that leverage our unique combination of user behavior and subscription data to improve consumer value from our products.
Deliver intelligent personalization and recommendation products in all our touch points to consumer including marketing, product, and customer service.
Mine, analyze and build predictive and descriptive machine learning models on structured and unstructured data sources.
Utilize code (Python, R, Scala, etc.) for analyzing data and building statistical models to solve business problems.
Apply or design highly innovative models for predictive learning, forecasting, recommendations, content ranking, and anomaly detection.
Create algorithms for optimizing consumer journey and increasing conversion and monetization.
Perform statistical analysis on the outputs of these machine learning models to help update, re-train, and then deploy new ML models.
Contribute to the creation, deployment, and scaling of machine learning and predictive algorithms in a production environment.
About You:
You will have 2+ years of experience in one or more of the following areas: machine learning (including deep learning), recommendation systems, pattern recognition, data mining or artificial intelligence.
M.S. in Computer Science or Machine Learning related degree; or equivalent work experience in the field.
Experience with various ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, deep neural networks, etc.
You will be proficient with designing, analyzing, and troubleshooting controlled experiments (Causal A/B tests, Multivariate tests).
Proficient with applied machine learning techniques and intermediate data engineering skill set with tools, libraries, or frameworks such as R, Python, SQL, MapReduce, Hadoop, Hive and Big Data technologies, scikit-learn, Keras, TensorFlow, PyTorch etc.
You will work with enormous amounts of structured and unstructured data in a consumer facing online business.
You will have algorithmic problem-solving skills and practical experience with machine learning.
You will work with natural language processing (NLP), text mining, statistical modeling, and hypothesis testing.
#LI-Remote

Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
Company Benefits and Perks:
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
Bonus Program
Pension and Retirement Plans
Medical, Dental and Vision Coverage
Paid Time Off
Paid Parental Leave
Support for Community Involvement
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
For Colorado Residents the starting salary for this position is $61,500.00. McAfee takes into consideration an individual’s skillset and experience in making salary determinations. For further details, please discuss with the Talent Acquisition Partner."
Data Scientist I,Elevate,Remote,4.0,PostedPosted 8 days ago,NaN,"The Sr. Data Scientist plays a critical role by applying cutting-edge modeling techniques to drive growth, control risk, and ensure operations excellence.",https://www.indeed.com/rc/clk?jk=01902d8707f063a4&fccid=af1cddf54cb21355&vjs=3,"General Summary:
Elevate is a globally distributed technology firm which develops next-generation financial products focused on managing life’s everyday expenses. The Data Science team conceptualizes, develops, deploys, and maintains predictive models and strategies to drive business decisions for our organization. The Sr. Data Scientist plays a critical role by applying cutting-edge modeling techniques to drive growth, control risk, and ensure operations excellence.
Primary Responsibilities:
Design, implement, and maintain acquisition and underwriting strategies to drive Elevate’s application traffic based on management recommendations.
Manage pre-screen mailer campaigns for multiple products, including customer selections using risk and response models, campaign execution, and fulfillment.
Utilize advanced statistical software such as SAS, R, or Python to develop predictive tools, models, and/or strategies to support business decisions
Help design and monitor portfolio reports to measure the effectiveness of these strategies and communicate results to senior management and internal business partners.
Maintain clear, detailed model documentation on our Wiki Server by leveraging reproducible research technologies such as Rmarkdown, IPython, Jupyter Notebook, etc.
Develop and maintain predictive attributes by leveraging univariate, bivariate and other statistical measurements for the purpose of consumption by analytical teams.
Experience and Education:
Minimum 4 year degree (Computer Science, Math, or Business Degree). Master’s Degree a plus
Strong quantitative / statistical modeling capabilities
Experience with third-party consumer credit data and other large datasets a plus
Experience extracting and manipulating data using multiple database technologies such as Microsoft SQL Server, Snowflake, etc.
Proficiency with at least one statistical software such as SAS, R, Python, etc.
Superior presentation and communication skills
Experience within the consumer lending environment a plus, but not required
#LI-BJ1
Qualifications
Skills
Behaviors
:
Motivations
:
Education
Experience
Licenses & Certifications"
"Software Engineer III, AI/ML Threat Predictions (Remote)","CrowdStrike, Inc.","Remote in Hempstead, NY 11551",3.3,PostedPosted 6 days ago,"$120,000 - $190,000 a year","Understanding data structures and commands for a key-value distributed caching solution, such as Redis.
We’re extending CrowdStrike’s mission of “stopping…",https://www.indeed.com/pagead/clk?mo=r&ad=-6NYlbfkN0Cu2CVlb3GO4Nf7aS8SXsFwjpUbSKkwsJRaJhRnAEdqU8CAqI7YsRHpRYHa3JNFQT36yS6akLPD6D08fvZQqIIxGb4q6S00Qtzb9V1MzJIHETgFQ4Zy3RK3bwRDFBJVSPge_9_fQ7EqkjH25lY9PabIk71U-44Rbs-Xx28_ul0wW6lq-3ScVOPfUMm28bnL_R0bv00CX-qAkKR6n-dsFUI9JZn0Hm4sWlvzKs8-h_BTvPctH0sK0019MOr1p3QnP0E9Nnmq7UnED6fVzYGa06jhzetZHBIRQ9W5024lYLSukJQZ6ia5lC0FSq7Gq5Au9oVSWqp_VGktoFqpNdrO_L3HP2ftPGg-i_5e7o0TyMA8csM8Qa0biDquDl6kJVLMDpftD_CzxIHgKSWjw8mEak22ZYrDiwRjjncbvgIQpofDUQsnC3WGi_nA0Tjs6Qkei0nj4Wy9zQAVqJYn8BQEFQ_J9ephBJVTR7XgLN8YDERtzg3TH5AlC9McgzwcIR3le2dSLBndlF55T0DN0aOvN-jHBFr0aFLx2SELynIunXPTj0pN_ZlsP7eqg9e67aVDvYmSdWkapBnWomByCmlbxh4K2yjHfcnlHeyutLWMadG9z1kypKsDrnV5fu3P0hWiJuoyQP5aNpWCM5Pt0AjXBsAhZMM3_VLKwZQ5FqKbiXyFkfM00CkWLsxvy6DfapkbyLtA_qwYhdg56Mi-ZG0YaeYhXRRh3iMPMHVD8sDsSMQlfCuZgM9rZ5f3lvI6q6fp800j1tCPDxPOvO0AuwZpBOfk&xkcb=SoDc-_M3WJmDW733SZ0DbzkdCdPP&p=14&fvj=0&vjs=3,"About the Role:
Crowdstrike’s Proactive Security Posture Management (PSPM) is a brand new and a key product area for CrowdStrike. We’re extending CrowdStrike’s mission of “stopping breaches” into the next level of sophistication and visibility by ingesting massive amounts of data and applying various techniques and algorithms (including Machine Learning) to provide visibility that was not seen before and also enable automation to a new level in the industry. In this role you will use the latest technologies for building backend services that will ingest data, perform calculations and provide remediation tooling and automation. The language the team uses is GoLang for building microservices and you’ll use various database systems.
We’re a highly collaborative, friendly, inclusive and diverse group that prizes collaboration over competition. We provide opportunities to learn new skills, mentor fellow engineers, and contribute to the direction of both the team and the products for which we’re responsible. We work in a distributed, remote-first, high-trust environment where you manage your own time and have the flexibility to balance your work and personal life. Our ideal candidate will be responsible for taking full ownership of the delivery of our products, driving the technical aspects, helping the team to define the architecture and coordinating with stakeholders in terms of scope and priorities. As a remote employee, you connect to your co-workers mostly via Slack and Zoom. In this setting your ability to work unsupervised, communicate asynchronously, and take initiative in maintaining lines of communication is crucial.
CrowdStrike, Inc. is committed to fair and equitable compensation practices. For applicants in Ithaca - NY, New Jersey City - NJ, and Colorado, the salary range is $120,000 - $190,000 per year + bonus + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. The salary range may differ in other states.
CrowdStrike participates in the E-Verify program.
Notice of E-Verify Participation
Right to Work

What You'll Need:
Experience programming in at least one object-oriented programming language, featuring strong types. We write code in Golang. Learn it on the job with us!
Experience developing and consuming RESTful API web services.
Experience interacting with major cloud provider APIs to provision cloud infrastructure, and to monitor it. We use Amazon Web Services (AWS) cloud provider APIs the most, as well as Azure and Google Cloud (GCP).
Experience using a message queue. We use Kafka. (e.g., defining messages, estimating message sizes and rates, monitoring lag)
Understanding data structures and commands for a key-value distributed caching solution, such as Redis.
Experience using RDBMS databases, and accompanying knowledge of SQL, such as Postgres.
Experience troubleshooting highly distributed systems, including scalability concerns. (e.g, concurrency, immutability, sharding, eventual consistency, etc.)
Bachelor's degree or equivalent work experience. Proficiency with common algorithms, data structures, code whiteboarding.

Bonus Points:
Machine learning or data science experience
Understanding data structures and various APIs, for full-text search of application logs and event data in Elasticsearch.
Experience with Cassandra, CQL, and its wide-column store database.
Experience using graph structures (ie. nodes, edges), graph data, and graph databases.
Prior industry experience or certification related to cybersecurity.

Responsibilities Include
Development of back-end services hosting both private and public-facing web services.
Development of public-facing command-line shell utilities, some which interact with your web services.
Design of supporting infrastructure (databases, real-time data streams, etc.)
Integration support and documentation for complimentary teams (ie. UX/UI, Sensors, etc.)
Participation in configuring and receiving uptime alerts related to the services you control.
Reflect thoughtfully to improve architecture, models, user experience, performance, and stability following successful rapid prototyping and fast-paced decision making.
Brainstorm and refine how customers use and apply the vast amounts of data we collect to automate cyber threat intelligence at global scale
Keeping services up and running in a healthy state

#LI-MP2
#LI-BA1
#LI-Remote
#HTF"
Senior Data Scientist - CDH - Remote,Mayo Clinic,"Remote in Rochester, MN",4.0,PostedPosted 30+ days ago,"$115,918 - $168,085 a year","Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from…",https://www.indeed.com/rc/clk?jk=043360485e76d71b&fccid=26877094797beef3&vjs=3,"Why Mayo Clinic
Mayo Clinic is the nation's best hospital (U.S. News & World Report, 2022-2023) and ranked #1 in more specialties than any other care provider. We have a vast array of opportunities ranging from Nursing, Clinical, to Finance, IT, Administrative, Research and Support Services to name a few. Across all locations, you’ll find career opportunities that support diversity, equity and inclusion. At Mayo Clinic, we invest in you with opportunities for growth and development and our benefits and compensation package are highly competitive. We invite you to be a part of our team where you’ll discover a culture of teamwork, professionalism, mutual respect, and most importantly, a life-changing career!

Mayo Clinic offers a variety of employee benefits. For additional information please visit Mayo Clinic Benefits. Eligibility may vary.

Position description
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data. Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches.
May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required
May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist.

Other responsibilities:
Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches.
Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning.
Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome.
Leads the interpretation of data analysis and writing reports.

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position.


Qualifications
A Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science and at least 12 graduate level semester hours in domain-relevant sciences or seven years or more of data science and AI experience.
The preferred candidate will possess a PhD or Master’s degree with one year experience in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data.

The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Good written and oral communication skills are required. Expertise in the use of scientific computing and data management packages. Ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports. Demonstrated success in project management and communication skills.

Additional qualifications
Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. Demonstrated ability to provide consultative services to departments/divisions and committees from any Mayo entity requesting assistance is preferred. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Strong interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Strong time management skills also are required. In addition, requires strong analytical skills, consulting skills, ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.

Exemption status
Exempt

Compensation Detail
$115,918.40 - $168,084.80/ year

Benefits eligible
Yes

Schedule
Full Time

Hours / Pay period
80

Schedule details
Monday - Friday 8:00am - 5:00pm. May need to be flexible with hours periodically to accommodate clinical schedules or product launches/releases. 100% remote role, the employee can work anywhere within the U.S.

Weekend schedule
Periodically need to be available for new product launches and releases.

Remote
Yes

International Assignment
No

Site description
Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life.

Recruiter
Laura Percival

EOE
As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available."
Data Analytics & Reporting Analyst,U.S. Bank National Association,+1 locationRemote,3.6,PostedPosted 3 days ago,"$87,465 - $102,900 a year",The Data Analytics & Reporting Analyst provides a strategic approach to identify and manage third party risk through data analysis.,https://www.indeed.com/rc/clk?jk=d1f231f836a845a7&fccid=ae5bfc395c530fbc&vjs=3,"At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.
Job Description
The Data Analytics & Reporting Analyst provides a strategic approach to identify and manage third party risk through data analysis. This includes assisting strategic approaches for gathering, maintaining, and reporting data with tools like SQL, Tableau, MS Access, and Archer (eGRC). Successful candidate will be involved in reporting on Key Risk Indicators (KRI), operational metrics, and provides support of audit and exam reporting.

Primary Responsibilities
Develop and maintain reporting on operational risk metrics and other on-going projects
Use SQL, MS Excel, and MS Access to create weekly and monthly reporting packages
Assist with creating and updating processes and procedures
Communicate significant issues to multiple stakeholders, including executive management
Develop user dashboards that provide actionable data to internal partners
Basic Qualifications
Bachelor's degree or equivalent work experience
Typically 5+ years of experience in an applicable risk management environment
Preferred Qualifications
Bachelors degree in a quantitative field such as mathematics, statistics, economics, accounting/finance preferred
Experience extracting, collecting, organizing, analyzing, and interpreting results for insights in a meaningful way
Strong technical acumen and proficiency with data analytics and reporting tools
Well-organized and detail orientated
Excellent verbal and written communication skills
Previous experience with internal audit, compliance, regulatory, and/or risk functions
Experience with Archer (eGRC), SQL and Tableau
Tag: INDMO

This role is hybrid if based in Minneapolis, MN. Team members who are in a hybrid role typically spend three days a week at a U.S. Bank location, while having flexibility on their work location for the other working days. If not located in Minnesota, the position is remote.
**This role is not eligible for H1B or STEM VISA Transfer or Assistance
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Take care of yourself and your family with U.S. Bank employee benefits. We know that healthy employees are happy employees, and we believe that work/life balance should be easy to achieve. That's why we share the cost of benefits and offer a variety of programs, resources and support you need to bring your full self to work and stay present and committed to the people who matter most - your family.

EEO is the Law
Applicants can learn more about the company’s status as an equal opportunity employer by viewing the federal EEO is the Law poster.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
Salary range reflected is an estimate of base pay and is for the primary location. Base pay range may vary if an offer is made for work in a different location. Pay Range: $87,465.00 - $102,900.00 - $113,190.00
Due to legal requirements, U.S. Bank requires that the successful candidate hired for some positions be fully-vaccinated for COVID-19, absent being granted an accommodation due to a medical condition, pregnancy, or sincerely held religious belief or other legally required exemption. For these positions, as part of the conditional offer of employment, the successful candidate will be asked to provide proof of vaccination or approval for an accommodation or exemption upon hire.
U.S. Bank will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance."
Data Scientist,PayPal,"Remote in Omaha, NE",3.9,PostedPosted 30+ days ago,NaN,"4-5 years experience in creating data, forecast and machine learning models.
Experience with databases, creating data tables and architecting data structure.",https://www.indeed.com/rc/clk?jk=61325232774c8e11&fccid=978d9fd9799d55a8&vjs=3,"At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.
Job Description Summary: This is a remote role to support the rapidly growing Happy Returns. Happy Returns is solving the #1 pain point of e-commerce: returns. We do this by providing a seamless system of technology, service, and logistics that gives shoppers the frictionless returns they want and retailers the low-cost and efficient service they require. Happy Returns operates a national network of Return Bar® locations staffed by friendly, well-trained Returnista® return specialists located in premier shopping centers, national and regional store networks, independent boutiques, and other convenient spots. Happy Returns is a venture-backed startup based in Los Angeles, CA. Come join our dedicated, fast-growing team and help us transform online shopping by making returns beautiful!
Job Description:
Responsibilities:
Happy Returns is growing at a rapid pace and is building a new team of Data Scientists. This team will lay the foundation for all things data related, supporting the growth of Happy Returns for years to come. Scientists will be expected to work alongside current engineers to ensure existing tables accommodate the future needs of the business. In addition, the team will also collect and organize other sources of data, building their own complimentary system of data tables. Collectively, the data structure which they create and operate will generates a unified set of data tables for reporting and planning. Via this data structure, the team will effectively share insights across many departments including Sales, Warehouse Operations, Automation and HR. Insights will span historical reporting, as well as, planning and forecasting into the future. Machine learning, automation, and predictive modeling will be key to providing both accurate and timely reporting.

As part of the team’s inception, those joining will be building from the ground-up. In turn, we are looking for driven individuals who have vision and experience to create on their own. The environment is fast paced, and productivity expectation is high. Those joining the team should be ambitious and ready to contribute to the fast growth of the company. You will have a chance to observe the impact of your work firsthand. More importantly, many departments across the company will be able to observe your impact firsthand. You will also have exposure to varying levels of management as all of the initial work will have high visibility.

So – if the idea of building something from the ground up, working independently on highly visible projects, and immediate impact appeals to you, we want to hear from you.
Minimum Qualifications:
Master’s or Bachelor of Science degree in a STEM discipline
4-5 years of experience in analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
4-5 years experience in creating data, forecast and machine learning models
Experience with databases, creating data tables and architecting data structure
Experience in managing data projects from inception to delivery, in an independent manner
Ability to solve complex problems and synthesizing insights into actionable solutions
Fluent in SQL, Python / R or any other scripting language
Advanced excel skills, including VBA experience.
Familiarity with visualization tools such as Looker or Tableau
Proven ability to effectively work amongst various groups while providing clarity
Excitement for working in a start-up environment with high level of ambiguity and change
Excellent communication skills, both written and verbal, to influence cross-functional teams
Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com

Who We Are:

To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated."
Data Scientist,BlocPower,Remote,NaN,PostedPosted 30+ days ago,"$120,000 - $130,000 a year","It will also will work closely with data engineers, data analysts, and other data scientists in the team to integrate results into operational platforms.",https://www.indeed.com/rc/clk?jk=fd5e62ec7f429a59&fccid=5f7c8e9b696f11aa&vjs=3,"BlocPower is a clean energy leader creating smarter, greener, healthier buildings for all by reducing the barriers to money-saving, quality-of-life-improving green building upgrade. We provide engineering, financing and project implementation services for our clients, with a special focus in historically left out communities across the country. These communities, and their buildings, are underserved by traditional energy services companies because they are considered too small, too costly, or too risky. Our portfolio of projects include houses of worship, schools, non-profits, small businesses and multifamily buildings. Through our work, we save our clients money, reduce greenhouse gas emissions, improve health and create local employment opportunities.

At BlocPower, we value our mission. We are trusted advisors that get things done for our customers by using data to make the right decisions. We support and expect excellence from our team members. We treat both our customers and ourselves with care and respect.

As our work is centered around systematically disenfranchised communities – including people of color, people from working class backgrounds, women and LGBTQ people – we strongly encourage applications from people with these identities or who are members of other marginalized communities.

About the Role
To further this mission, BlocPower is looking for a friendly, collaborative, and affectionate Data Scientist to join our growing team. This data scientist will be responsible for building truly large-scale, data-driven predictive models and integrating within our organization. You should have a depth of experience with the model development life cycle, and see yourself adding to as much as benefitting from a supportive team environment.
This role will utilize machine learning methods and tools like Python, Scikit learn, and Spark ML to examine business questions, uncover novel insights, and explore new opportunities. It will also will work closely with data engineers, data analysts, and other data scientists in the team to integrate results into operational platforms. The position includes analytic computing, data analytics, predictive modeling, and the communication of results.

Our ideal teammate is someone who is self-directed, believes in our mission, and is an excellent written communicator.
What You'll Do
Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions
Mine and analyze data from company databases and data lake to drive optimization and improvement of product development, marketing techniques and business strategies
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop custom data models and algorithms to apply to data sets
Use supervised and unsupervised machine learning, predictive modeling, and other statistical techniques to increase and optimize opportunities to retrofit buildings, improve customer experiences, refine sales targeting, and support other business outcomes
Coordinate with different functional teams to implement models and monitor outcomes
Develop processes and tools to monitor and analyze model performance and data accuracy
Who You Are
Able to stand up and maintain a MDLC pipeline with little to no supervision, using tools such as AWS Sagemaker, Data Robot, Databricks
Able to perform exploratory data analysis with little to no supervision
Able to perform feature engineering with little to no supervision
Able to evaluate which algorithm is best fit to the use case (egs gradient boosting, decision trees, random forest, or deep-learning)
Able to perform hyperparameter tuning with little to no supervision
Able to implement a deep-learning algorithm using tools such as Keras or TensorFlow
Experience with big data analytics using Spark, Kafka/Kinesis etc
Strong project management and organizational skills

Education & Experience
BA/BS or equivalent combination of work experience and education preferably in degree/course work/experience in computer science/data science
2+ years of experience as a Data Scientist
What You'll Get from Us
Base salary between $120,000 and $130,000
Competitive equity in a growing, Series A startup
Health, dental, vision, 401(k) benefits, plus perks like a One Medical membership and commuter benefits
Bonus Points
Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Glue, Sagemaker
Microservice architectures
Docker, Kubernetes, Docker-Compose
Git and Jenkins
Experience working with IoT/Sensors

This job description is not intended to be a comprehensive list of the duties and responsibilities of the position. The duties and responsibilities may change without notice.

BlocPower™ provides equal employment opportunities(EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, BlocPower™ complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

BlocPower™ expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of BlocPower™ employees to perform their job duties may result in discipline up to and including discharge."
Data Scientist,Saturn,"Remote in New York, NY",3.7,PostedPosted 30+ days ago,NaN,"We're looking for seasoned and energetic broad-skilled data scientists who can range from impactful, opinionated business analysis to developing impactful data…",https://www.indeed.com/rc/clk?jk=b68523db65469240&fccid=b4bdc8ec68ac3d02&vjs=3,"Saturn Technologies - Data Scientist
At Saturn, we're on a mission to build community around the calendar. We're starting in high school and help tens of thousands of users manage their time and stay better connected with friends. The majority of our users are active daily. We've raised more than $44 million in funding from General Catalyst, Insight Partners, Coatue, Jeff Bezos, Marc Benioff, and other top venture investors. If you're looking to drive a major impact on an energetic and ambitious team, come join us!
To learn more about Saturn's offerings on iOS, Android, and Web, visit joinsaturn.com.
About the Role:
As a founding data team member at Saturn, you will have outsized influence in steering the company's direction and establishing data practices and infrastructure. We're looking for seasoned and energetic broad-skilled data scientists who can range from impactful, opinionated business analysis to developing impactful data software.
Key Responsibilities and Expectations:
Ensuring partner teams are organized around the right operational metrics
Advancing the company through insightful analysis and research
Driving optimization through experimentation and machine learning
Contributing to data infrastructure and team best practices to increase velocity
Example Workstreams:
Evaluating which features and tactics are predictive of high schools' growth
Evaluating feature launches and usage
Developing a share/invite contact suggestions ranker
Developing our dbt model and automated reporting functionality
Optimizing ad spend
Candidate Qualifications:
3+ years of experience in data science, quantitative research, and/or analytics
Deep experience and second-nature fluency in: SQL, Python, Applied statistics and causal inference, and machine learning methods
Strong product and business sense and opinions
The ability to communicate complex ideas crisply
A team-first mentality and a leader and teacher to peers
An impatient bias for action
Saturn celebrates and embraces having a diverse team. We are committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics."
"Data Scientist, Tooling",Zipline,"Remote in South San Francisco, CA",4.2,PostedPosted 30+ days ago,NaN,"Experience listening to customers, identifying opportunities, and creating roadmaps and detailed project plans.
Experience with Databricks or PySpark.",https://www.indeed.com/rc/clk?jk=ec60a30aa393cfa8&fccid=d8621f9fd321d88d&vjs=3,"About Zipline
Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda's national blood delivery network and Ghana's COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain.
Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people.
About You and The Role
Zipline is hiring a data scientist to support analysis of the vast amounts of data produced by our autonomous aircraft and various IoT devices. In this role, you'll analyze data produced by these hardware devices, produce compelling visualizations, and enable others to do the same. The ideal candidate will be excited about developing high-quality code and user-friendly tools that help team members derive insights from our data. Your work will enable the entire organization to make more informed decisions, innovate faster, and serve our customers better.
What You'll Do
Carry out analysis on data produced by our hardware systems and create insightful visualizations to share your findings.
Create reusable reference notebooks and material that will be leveraged by several teams to carry out high-value analyses.
Drive essential improvements towards the user-friendliness and efficiency of our Python libraries for interfacing with hardware data.
Serve as an internal consultant on our data metrics definitions and actively steer efforts to raise code quality.
Partner with our data engineers to identify opportunities to simplify and speed up data analysis by making upgrades to our data pipelines and data formats.
Partner with upstream engineering teams to refine data logging patterns and resolve data quality issues.
Document and evangelize the value of our data tools to engineers and other cross-functional partners.
Spend time with your customers and use their feedback to create a roadmap that you'll execute against.
What You'll Bring
Advanced proficiency with Python and libraries commonly used for data analysis, e.g., Pandas, Numpy, Scipy, and Matplotlib.
Adept at summarizing large datasets visually that make complex results understandable at a glance.
Strong understanding of descriptive statistics, probability, and statistical modeling.
Experience working with continuous integration and continuous deployment processes and tools.
Skilled at translating a general question or problem into clearly defined analysis and presenting actionable insights.
Adept at ruthlessly prioritizing critical analysis requests and balancing multiple high-value projects, deadlines, and stakeholders at once.
A desire to continuously improve your work and the work of others.
Experience listening to customers, identifying opportunities, and creating roadmaps and detailed project plans.
Enthusiasm to work closely with engineering teams and develop domain knowledge about hardware and software across the company.
Passion and excitement to serve as a technical mentor and thought leader.
Nice to haves:
Experience with Databricks or PySpark
Experience building interactive visualization suites
What Else You Need to Know
Location: This is a remote friendly role, but you do have the option to come into our South San Francisco office if you're based in the Bay Area. If you are full-time remote, you must be able to travel to our headquarters in South San Francisco to work with stakeholders periodically (1-2 times per quarter, at most) and overlap working hours with both GMT and PST time zones.
Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.
We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!"
Principal Data Scientist - CDH - Remote,Mayo Clinic,"Remote in Rochester, MN",4.0,PostedPosted 30+ days ago,"$134,202 - $194,563 a year","Provides deep data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from…",https://www.indeed.com/rc/clk?jk=11443a4f2da0756a&fccid=26877094797beef3&vjs=3,"Why Mayo Clinic
Mayo Clinic is the nation's best hospital (U.S. News & World Report, 2022-2023) and ranked #1 in more specialties than any other care provider. We have a vast array of opportunities ranging from Nursing, Clinical, to Finance, IT, Administrative, Research and Support Services to name a few. Across all locations, you’ll find career opportunities that support diversity, equity and inclusion. At Mayo Clinic, we invest in you with opportunities for growth and development and our benefits and compensation package are highly competitive. We invite you to be a part of our team where you’ll discover a culture of teamwork, professionalism, mutual respect, and most importantly, a life-changing career!

Come be a part of something big, building the next generation of data products!

Mayo Clinic offers a variety of employee benefits. For additional information please visit Mayo Clinic Benefits. Eligibility may vary.

Position description
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has deep expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data. Has deep knowledge of healthcare data types, topics, and scientific challenges and approaches.
Work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care.. Designs and develops scripts or software applications to support data management, data extraction, data analysis, and AI as required. This position may develop predictive and prescriptive models to address complex problems, discover insights, and identify opportunities using machine learning, statistical techniques, and data mining. Provides Consultative Services at an enterprise level to departments/divisions and/or may lead scientific projects. May have direct and indirect reports.

Other responsibilities:
Provides deep data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
Develops predictive and prescriptive models to address complex problems, discover insights, and identify opportunities using machine learning, statistical techniques, and data mining.
Makes presentations on assigned projects or proposals.
Conducts advanced data analysis and designs highly complex algorithm systems.
Functions independently and initiates judgment in handling delegated responsibilities.
Experience leading technical/quantitative teams.
Develops experimental design approaches to validate findings or test hypotheses.
Identifies/creates the appropriate algorithm to discover patterns.
Leads and directs the interpretation of data analysis and writing reports.

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position.


Qualifications
A Master's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of five years of professional or research experience in data science
The preferred candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of three years of professional or research experience in data science and statistical/machine learning packages.

The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Good written and oral communication skills are required. Deep expertise in the use of scientific computing and data management packages. Ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports. Demonstrated success in project management and communication skills.

Additional qualifications
Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. Demonstrated ability to provide consultative services at an institutional or enterprise level to departments/divisions and committees from any Mayo entity requesting assistance is preferred. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to independently manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Excellent interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Exceptional time management is required. In addition, requires excellent analytical skills, consulting skills, ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.

Exemption status
Exempt

Compensation Detail
$134,201.60 - $194,563.20/ year

Benefits eligible
Yes

Schedule
Full Time

Hours / Pay period
80

Schedule details
Monday - Friday 8:00am - 5:00pm. May need to be flexible with hours periodically to accommodate clinical schedules or product launches/releases. 100% remote role, the employee can work anywhere within the U.S.

Weekend schedule
Periodically need to be available for new product launches and releases.

Remote
Yes

International Assignment
No

Site description
Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life.

Recruiter
Laura Percival

EOE
As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available."
Senior Product Data Scientist,Cash App,"Remote in New York, NY+2 locations",5.0,PostedPosted 17 days ago,NaN,"This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on…",https://www.indeed.com/rc/clk?jk=430bd7d54291f8f7&fccid=23ddedaf27ad006f&vjs=3,"Company Description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.

Job Description

We are looking for Senior Product Data Scientists to join Block and help build Cash App, the fastest growing financial app in the world. We are reinventing the way people think about banking and financial services through our P2P, Banking, Cash Card, Boost, BTC, and stock investing products. We derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day.
As a PDS at Cash App you will:
Partner directly with a Cash App product team, working closely with product managers, engineers, and designers
Analyze large datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to the product team and other key stakeholders
Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior
Design and analyze A/B experiments to evaluate the impact of changes we make to the product
Work with engineers to log new, useful data sources as we build new product features
Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
Build and share data visualizations and self-serve dashboards for your product team
Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Qualifications

You have:
1-2 years of data science and analytics experience in industry
A PhD or other relevant graduate degree in the physics, economics, statistics, or a similar STEM field
Experience with scripting and data analysis programming languages, such as Python or R
Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities
Experience in a high-growth tech environment
An appreciation for the connection between your work and the experience it delivers to customers
Intellectual curiosity and a passion for what Cash App is building

Technologies we use and teach:
SQL (MySQL, Snowflake, BigQuery, etc.)
Python (Pandas, Numpy)
Tableau, Airflow, Looker

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $152,100 - USD $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverage
Retirement Plans including company match
Employee Stock Purchase Program
Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
Paid parental and caregiving leave
Paid time off
Learning and Development resources
Paid Life insurance, AD&D. and disability benefits
Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution."
Data Scientist,Kershner Trading Group,"Remote in Austin, TX 78758",3.5,PostedPosted 30+ days ago,NaN,"A passion for analyzing large data sets.
Work with a team of Data Scientists to analyze data and create intraday algorithmic trading strategies.",https://www.indeed.com/rc/clk?jk=01836c6a3189c801&fccid=713a35ba86b4e0e6&vjs=3,"Kershner Trading Group is a leading proprietary trading and technology firm, headquartered in Austin, Texas with offices in midtown Manhattan, NY and Chicago, IL. We provide capital and infrastructure to in-house quantitative and discretionary traders. We currently have an opening for a Data Scientist to work in our Austin, TX location or remotely.

Responsibilities:
Work with a team of Data Scientists to analyze data and create intraday algorithmic trading strategies
Provide valuable input to software engineers in order to enhance our back testing engine and data analysis tools for predictive model analysis
Collaborate with the team in order to enhance the trading software, reduce slippage and increase model efficiency

Requirements:
A passion for analyzing large data sets
Programming experience in Python
Entrepreneurial spirit


Preferred Qualifications
Experience in C++ and Linux
Knowledge of US stock market
Enthusiasm for looking at datasets in many different ways
Familiarity with algorithmic trading

What’s in it for you?
Work with cutting edge, low latency technology
Grow and sharpen your skills on a daily basis
Join an environment that embraces team spirit"
Data Scientist,Sportradar AG,Remote,4.2,PostedPosted 30+ days ago,"$106,000 - $171,000 a year","5+ years of experience in data science or data engineering related role.
Synergy Sports delivers on-demand analytics and associated video to nearly 1500…",https://www.indeed.com/rc/clk?jk=c9d5ca636b538cb1&fccid=8eb6e636b039823c&vjs=3,"Synergy Sports, A Division of Sportradar,
is looking for a talented Data Scientist to join our software team.
Synergy Sports delivers on-demand analytics and associated video to nearly 1500 basketball, baseball, and hockey teams from pro, international, and college leagues. Our systems are highly complex and contain petabytes of data and video requiring extremely capable individuals to maintain the scale and efficiency of its products.
Synergy Sports’ data science team will contribute to the ongoing development of the company’s revolutionary sports data and video delivery solutions, building applications such as:
Sports Workflow Applications
Sports Analytics Systems
Synergy Sports is a globally distributed company, with employees working from home offices. The role must be comfortable working in a virtual office using online collaboration tools, with all communication and interaction in English. We work on an asynchronous model with flexibility of when and where you want to perform your job, while still being able to attend team calls and regular meetings. Personal initiative and a strong work ethic are highly encouraged and rewarded.
The company provides a very transparent freedom and responsibilities culture to all our teams. We strongly believe striking the balance between work and family is very important and our culture is focused on the well-being of our team.
Requirements
5+ years of experience in data science or data engineering related role
Demonstrated, creative problem-solving using data analysis
Applied experience with regression analysis and other statistical modeling techniques
Strong proficiency in Python
Fundamental understanding of Machine learning concepts (e.g. cross-validation, statistical basis for ML algorithms, etc..)
Bonus Superpowers:
Experience scaling and operationalizing data science models in production settings
Experience working with MongoDB, MySQL, or other relational/noSQL databases
Software engineering background
Sport-specific analytics experience
Previous experience leading a team
Benefits
Big problems, massive impact. We’re working on big scalability challenges and our flat structure means individuals have an incredible amount of impact on everything they touch.
Join our team of best-in-class engineers to disrupt the sports industry and learn, share and grow with great peers on a daily basis.
A culture geared towards innovation and experimentation. From Deep learning and Computer vision to Kubernetes and the latest cloud technologies.
Competitive salary based on your experience.
Pay Range: $106,000 - $171,000
Sportradar intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors including but not limited to experience, qualifications, and location. Base pay is just one component of the Total Rewards that Sportradar provides to compensate and recognize employees for their work. Sportradar offers best-in-class benefits such as a comprehensive benefits package, performance bonus program, equity stock purchase and 401k contribution. Please consult with your recruiter to learn more as all benefits are subject to eligibility requirements."
People Analytics Data Scientist,General Motors,Remote,4.0,PostedPosted 21 days ago,"$102,384 - $130,824 a year","Your strong analytical data science expertise and demonstrated knowledge of HR data, analytics, and processes will help advance our advanced analytics…",https://www.indeed.com/rc/clk?jk=09aef50bc17aa848&fccid=116680a29a847a70&vjs=3,"Job Description

People Analytics CoE (Community of Expertise) is looking for a People Analytics Data Scientist to join its newly formed Data Science & Predictive Analytics team. In this role, you will be responsible for managing data science projects and identifying opportunities where advanced analytics and modelling can inform strategic talent decisions, improve organization effectiveness and drive positive employee experience. Your strong analytical data science expertise and demonstrated knowledge of HR data, analytics, and processes will help advance our advanced analytics capabilities and enable data-driven decisions. What is in it for you? You will have a chance to influence our talent strategy, help design insights that matter and be part of a great team that puts innovation and curiosity at the center of everything we do.

Responsibilities:
Lead the development and implementation of existing and future People Analytics data science models and deliverables including enhancement development, use cases and UX training (e.g., workforce planning, attrition and hiring modelling etc.)
Advance our AI/ML capabilities by leveraging existing use-cases and using advanced modeling techniques to drive process improvements, improve organizational effectiveness and enhance candidate and employee experience
Improve understanding of data science principles in a broader HR community (use cases, return on investment)
Propose and implement high-impact data science solutions that help address specific business challenges
Manage a daily working relationship with People Analytics Consultants. Learn their business needs and proactively propose technical solutions to their business problems using knowledge of best-in-class models
Present key findings, insights and recommendations to senior stakeholders
Build partnership and work closely with IT and Enterprise Data, Analytics & Insights (EDAI) teams to enhancedata science capabilities and drive innovation across the enterprise
Leverage the latest trends in advanced analytics and technology to drive innovation and provide recommendations

Requirements:
5+ years of working with HR data in People Analytics/HR Data Scientist role
Master's degree in Data Science, Mathematics, Statistics, Computer Science, Engineering, or other quantitative field
Proficiency in data gathering, cleansing, modeling/diagramming and visualization techniques
Experience applying Machine Learning techniques to understand data and solve business problems
Experience in building and enhancing workforce planning and attrition forecasting models
Very good understanding of HR data (talent acquisition, talent development, workforce planning, DEI (diversity, equity, and inclusion), engagement, employee listening, learning and development etc.)
Proficiency in R or Python
Proficiency in Business Intelligence/Reporting with experience using Power BI
Knowledge of data mining algorithms, machine learning and natural language processing (NLP)
Advanced knowledge of data Integrations with expertise using SQL or KNIME
Experience architecting and automating data and analytics solutions that can provide insights and recommendations at scale
Good understanding of statistical process, concepts, and tools (e.g., significance testing, Chi-square, regression, etc.)
Consulting skills and ability to translate complex technical concepts to stakeholders
Excellent problem-solving capabilities
Highly developed story telling skills with the ability to distill complex subjects to a wider audience

Additional Job Description

Remote- This position does not require the employee to be on-site full-time to perform most effectively. The Employees role enables them to work off-site on a permanent basics

Compensation: The compensation information is a good faith estimate only
Themedian levelrangeof salary compensation for this role is$102,384-$130,824.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

#LI-remote

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Benefits Overview

The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
Company and matching contributions to 401K savings plan to help you save for retirement;
Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
Tuition assistance and student loan refinancing;
Discount on GM vehicles for you, your family and friends.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.GM is proud to be an equal opportunity employer.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us atCareers.Accommodations@GM.com or call us at800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying."
Data Scientist,Vori,"Remote in Palo Alto, CA",NaN,PostedPosted 29 days ago,NaN,This is a full stack data science role: you will be part of a small data science team responsible for working closely with Vori's lead data scientist and…,https://www.indeed.com/rc/clk?jk=1fb8515b14b70994&fccid=dd616958bd9ddc12&vjs=3,"About Vori
Vori is building the modern operating system for the grocery store. Our technology empowers supermarkets to run more profitable businesses, build great teams, waste less food, and delight their shoppers. Our customers are everyday retail owners and food entrepreneurs who feed communities across America.
Vori seamlessly connects data across the food supply chain, streamlining operations for grocers and their suppliers while democratizing food supply access. Our world-class team is on a mission to ensure communities have access to the goods they need and love in order to live, work, learn, and play—starting with food.
We're backed by The Factory, Greylock Partners, Y Combinator, South Park Commons, Village Global, E2JDJ, as well as founders from Instacart and DoorDash, plus product executives from Airbnb, Albertson's/Safeway, and even some early Vori customers.
Check out our website www.vori.com, learn more about our product, here,
About This Role
Actionable insight about inventory is critical for retailers. Existing solutions for independent retailers perform poorly and are too labor intensive. Pricing strategy is also crucial to sustainable small business. In this role, you will be focused on Vori's inventory and pricing models for independent retailers.
This is a full stack data science role: you will be part of a small data science team responsible for working closely with Vori's lead data scientist and Product and Engineering teams to define, develop and deploy data science products our customers love. You are a team player who embraces feedback, a self-starter with an ownership mentality. You handle ambiguity well and engage in root cause problem solving; you value finding solutions iteratively.
If you're a data scientist who is excited about Vori's mission to combat food waste and food deserts by transforming how grocery stores operate, join us to build products to empower independent grocers!
What You'll Do
Formulate and conduct data science experiments
Define new datasets to collect
Data cleaning
Train and iterate on models
Model deployment and monitoring
Analytics to support business development
What We're Looking For
Proficiency in Python, SQL
Strong grasp of data science fundamentals
Familiar with software development best practices
Systems thinker
Excellent communication skills
3+ years post-graduate data science experience
Nice To Haves
Previous early-stage startup experience
Experience with model deployment
MLOps
GCP
Experience with forecasting
What We Can Give You
Opportunity to work with a world-class, diverse team
Competitive salary & equity with employee-friendly terms (early exercise)
Personal financial advisor
Remote work, with an office when you need it
Stipend to set up your home office
Regular team events and retreats
Unlimited PTO, with minimum 21 days off
Generous paid parental leave
Health, dental and vision insurance
401k"
Data Scientist,Wiland,Remote,NaN,PostedPosted 30+ days ago,"$82,000 - $113,500 a year","3+ years’ analytics experience in database marketing, data science, analysis and modeling.
Review and perform quality checks on existing data sources.",https://www.indeed.com/rc/clk?jk=50ca7e5ea0387cfb&fccid=71b1f25a439121fd&vjs=3,"Data Scientist
SummaryThe Data Scientist is responsible for the research, creation and implementation of analytical solutions designed to optimize marketing communications and/or drive marketing insights for existing clients. This individual will participate in the design and development of processes to automate analytical functions as well as contribute and assist in the creation of new products and services rooted in analytical work. The Data Scientist will consult with Client Success in the development and usage of predictive modeling products with the goal of maximizing client results. Finally, they will interpret promotional results and provide recommendations to enhance performance.
Job Responsibilities
Assist in the design, development and enhancement of processes to make Wiland’s Enterprise analytical platform robust and to scale to meet company growth. This includes, but is not limited to, development of new analytic and modeling capabilities as well as consulting with internal technology personnel.
Assist in the evaluation of various statistical techniques including proprietary algorithms in the context of prospect and customer models.
Complete research and analysis to provide insights leading to new product and services.
Review and perform quality checks on existing data sources. Assist in leveraging existing data sources to their fullest potential for use within models and targeting decisions. This includes the generation of new information as well as the creation of models to be used as inputs in other processes.
Assist in evaluation of new data sources within existing processes and make recommendations for licensing.
Provide input to the Predictive Client Solutions Team and Client Success to assist in the fulfillment of client orders including recommendations for model prioritization and offline customized selects.
Present analytical results internally to the Analysis Team, Client Success and Senior Management as needed. Develop presentation skills and business knowledge to eventually deliver Client presentations and consultations
Education, Experience & Qualifications
Bachelor's Degree (or higher) in a quantitative discipline (Statistics, Mathematics, Economics or Computer Science) with strong work experience. Must be able to produce college transcripts showing minimum 3.0 GPA.
3+ years’ experience with R, Python, or related statistical software package including extensive programming skills.
Hadoop, Spark or other big data implementation experience desirable
3+ years’ experience developing successful predictive models using regression analysis, decision trees and/or neural networks in an academic setting or prior work.
3+ years’ experience with databases, data access tools, and SQL.
3+ years’ analytics experience in database marketing, data science, analysis and modeling.
1+ years’ experience demonstrated professional presentation skills with an emphasis on effectively communicating analytical results to key stakeholders.
Strong interpersonal and problem-solving skills.
Additional Details
Location: Remote
Department: Information Technology
Compensation Range: $82,000- $113,500. Total compensation for this role also includes a variable component.
Our benefits include: Medical, Dental and Vision, Flexible Spending Account, Basic and Voluntary Life/AD&D Insurance, Short & Long-Term Disability, 401(k) Retirements Savings Plan with company match, Paid Parental Leave, Flexible Time Off (FTO) and 11 Designated Company Holidays.
Must be a US citizen or authorized to work in the United States.
Wiland is an equal opportunity employer.
Apply Now!
We want to learn more about you! We are seeking dedicated, high caliber professionals who are smart and energetic, have a positive attitude, and take pride in their work. Please submit your application using the button below.
Job Type: Full-time
Pay: $82,000.00 - $113,500.00 per year"
Data Scientist (R Programmer),Evurge Solutions,Remote,NaN,EmployerActive 3 days ago,"$167,786 - $192,276 a year","Able to interact with functional and technical consultants to ensure successful model building and deployment.
R Programming: 3 years (Required).",https://www.indeed.com/company/Evurge-Solutions/jobs/Data-Scientist-c8df5582cb8571fb?fccid=e522702fb08bcc5e&vjs=3,"The consultant must have hands on R programming knowledge; statistical background and understanding
Ability to build and deliver robust statistical models
Deliver high quality documentation and presentations to support and maintain model and library use
Able to interact with functional and technical consultants to ensure successful model building and deployment
Development and back testing
Deployment
UAT
Windows 7
Windows 10
R Langue
R Studio
SQL Manager
SQL Langue
R Development/Programming
SQL
ADABAS/Natural
Agile
Power BI
Able to work independently
Job Types: Full-time, Contract
Salary: $167,786.19 - $192,276.14 per year
Schedule:
8 hour shift
Application Question(s):
Please mention email address for better reach
Experience:
R Programming: 3 years (Required)
Work Location: Remote
Speak with the employer
+91 7039570237"
Project Manager III / Senior Quality Data Analyst,Atlas,Remote,NaN,PostedPosted 3 days ago,$50 - $68 an hour,"Understanding of industry trends in analytics, database technologies, machine learning, and statistical analysis.
Data science / analytics: 3 years (Preferred).",https://www.indeed.com/pagead/clk?mo=r&ad=-6NYlbfkN0DFt5CLWch_-uKpf_0Ky8M_iFaKSU6X2cPjQwIk2lGN2zlJ200dufGwdCb50mwSuDUoBX4eRab7R68safoxCaXwV7dLkSo1CPBTCNAj6iaZvBlIUP4HyjWDgRhoOhN9oHmlq-200urJyPb1drrPvGJMtJNPLBBtCFh7ShlwimDMinIiMBkberNfDQ4ZnoGsO4pyVEdI0IDshi2TpodTIczOzwjfsxXt2jGsuCv4gF6WBmNVlgeZpKXUlr3ugIixRs0i2g37FGO7K8OFeQS4qvSQnUBK07py0Zb-o7EV0Hi3s0pjz7b86fbYr1-4hPKHvqixQG3Y1irnL08T977k3ab6_kg2i4buvaj2NX1XtBOs0WKqTVFmgugVbbb3FPYxZQLz6ExdX4q-WinNmWRARLem0i9zopyUtb9FBIyfJO9nfyxuUKHwYJ3q6gM-ywr_paAJTc_asj_IV8WUPuurtqyENvovl46k17t_eYLxGbybs5h3XiP64qqRYT7IIfSgpU3QoGCzc1qqis2TtllbaYY6KE8i9muh6Ys=&xkcb=SoDs-_M3WJmDpBQdzB0IbzkdCdPP&p=14&fvj=1&vjs=3,"No C2C - Only W2
Job Title: Project Manager III / Senior Quality Data Analyst
Job Location: 100% Remote
Job Duration: 06 to 12 Months of Contract for Our Fortune 500 Client
Job Description
This senior quality data analyst contractor, under Quality Data Analytics and Insights, is responsible for developing Client approaches to understand various types of data including but not limited to Quality Systems data (e.g., Deviations, CAPAs), operational data as part of the manufacturing lifecycle, and financial data (e.g., capital and operational expenses) using analytics and advanced modeling techniques.
In addition, the current role is expected to interact with key stakeholders (e.g., GxP subject matter experts (SMEs), business process owners (BPOs) and Quality Business Partners, etc.) to help design leading quality KPIs to enable enhanced performance.
The senior quality data analyst contractor will report to the Senior Manager in Quality Data Analytics, a group that is focused on transforming our QMS through innovative, creative, and scalable approaches.
This role will be an active member of a community of data scientists, that share ideas, information, techniques, and best practices across different functional areas.
Responsibilities
Provide support in QMS data analytics and advanced programing to the Quality Data Analytics team and / or project stakeholders within and beyond the Central Quality System and Compliance (CQSC), which includes:
Appropriately framing questions to be answered / issues facing the organization
Choosing an analytical methodology that is situationally appropriate
Understanding data correlations across databases and developing data mapping strategies for standardization
Applying data cleansing and data QC techniques to leverage data integrity
Visualize results / data with experience in tools such as R, Python, Power-BI, Tableau, Qlik Sense or equivalent
Interrogating data with in-depth analyses and extracting right information to support metrics reporting
Present and explain analysis and options
Developing appropriate analysis models (including machine learning and / or artificial intelligence (AI) as appropriate) to conduct analysis, interpret results and determine potential risks, time impact, costs, and value
Work with various stakeholders (e.g., quality process owners) to derive leading KPIs to drive performance
Ability of utilizing advanced programing/coding to automate analysis/business pipelines is a MUST HAVE
Support ad-hoc data query requests
Develop predictive / forecasting dashboards to support Management Reviews
Required Experience
At least 3-5 years of data science / analytics or related field experience, experience working in a pharmaceutical / life science company preferred
Must have strong R coding skills. Skillful data manipulation and visualization expertise through BI tools such as Power-BI, Qlik Sense, EXCEL Macros; advanced programing capabilities and coding techniques in R and experience with R-shiny
Prior knowledge in Quality & Compliance and/or existing experiences in understanding quality management system (QMS) components considered a big PLUS
Understanding of industry trends in analytics, database technologies, machine learning, and statistical analysis
Comprehensive understanding and use of experience with quantitative principles, concepts, practices, and standards
Skillful data manipulation and visualization expertise through BI tools such as Power-BI, Qlik Sense, EXCEL Macros; advanced programing capabilities and coding techniques in R and experience with R-shiny
Ability to present data, ideas, and rationale clearly to a broad audience and strong communication skills
Required Skills
Coding
Desire Skills
Statistics
Excel
Data cleansing
Data manipulation
QMS
Database
Data analytics
Statistical analysis
GXP
Life science
Business intelligence
Data integrity
Metrics
Quality system
Education
BS with education/training from a strong analytical field such as statistics/biostatistics, information science, applied mathematics, quantitative engineering, or computer science.
Job Types: Full-time, Contract
Pay: $50.00 - $68.00 per hour
Benefits:
401(k)
Schedule:
Monday to Friday
Education:
Bachelor's (Required)
Experience:
Pharmaceutical, Life science: 3 years (Preferred)
data science / analytics: 3 years (Preferred)
coding: 1 year (Required)
Work Location: Remote"
Data Review Associate Scientist,Eurofins USA BioPharma Services,"Remote in Lancaster, PA",2.9,PostedToday,NaN,"Strong computer, scientific, and organizational skills.
Ensure that the client receives quality data by reviewing laboratory data for accuracy, clarity, and…",https://www.indeed.com/rc/clk?jk=caab7c5c634229cc&fccid=da33f48dbeb2e889&vjs=3,"Company Description

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate.
Eurofins is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organisation services. Eurofins is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. The Group also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products.
In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to 55,000 staff across a decentralised and entrepreneurial network of 900 laboratories in over 50 countries. Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products.
In 2020, Eurofins generated total revenues of EUR € 5.4 billion, and has been among the best performing stocks in Europe over the past 20 years.

Job Description

Ensure that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations
Work efficiently, document work clearly, and perform duties accurately
Position can be offered remote for candidates that are within driving distance to Lancaster
Candidates have to report onsite for a maximum of #2 times per week during the training introductory period (approximatley 3 months).

Qualifications

The Ideal Candidate would possess:
Strong computer, scientific, and organizational skills
Excellent communication (oral and written) and attention to detail
Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude
Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies
Theoretical understanding of protein or chemistry related techniques
Qualifications
Minimum Qualifications:
Bachelor's degree in biochemistry, biology, chemistry, protein chemistry, or other related degree concentration
Authorization to work in the United States indefinitely without restriction or sponsorship

Additional Information
Excellent full time benefits including comprehensive medical coverage, dental, and vision options
Life and disability insurance
401(k) with company match
Paid vacation and holidays
Eurofins is a M/F, Disabled, and Veteran Equal Employment Opportunity and Affirmative Action employer."
Data Scientist - Machine Learning Ops,CareMetx,Remote,2.9,PostedPosted 30+ days ago,NaN,"You are familiar with applied data science methods, feature engineering, and machine learning algorithms.
2+ years of proven experience in implementing big data…",https://www.indeed.com/rc/clk?jk=312612778b42be54&fccid=bbbe33aaa3badafc&vjs=3,"Hey!
Are YOU passionate about applying cutting-edge technology to improve the human experience? Are you passionate about fixing a broken healthcare system that is difficult to navigate, with barriers to access and afford life-changing medicine and treatment? Are you passionate about technical excellence and deploying software that makes people happier and healthier? If so, CareMetx wants you to be a part of our growing engineering team!
At CareMetx, data teams own an outcome - that means teams are both accountable AND empowered for a unit of business value. We create an environment for learning opportunities and believe there is no such thing as “that’s not my job.” Our vision is to generate valuable insights from the data and drive strategic decision-making. All Caremetx data team members have the opportunity to explore new technologies and data trends. That means you will have the opportunity to grow deeper in the skills you’re passionate about and expand your breadth by learning skills that will help the team succeed.
As a Data engineer/analyst/scientist you will constantly deliver business value. You will also function as a catalyst for innovation and new ideas through creative problem-solving, elegant engineering, and the application of new technology and architectural patterns. You will help shape a performance-oriented learning culture by sharing your knowledge and skill depth within the team.

Job Title: Data Scientist - ML Ops

Job Requirements
Has Bachelor’s or master's degree in a technology-related field (e.g. Engineering, Computer Science, etc.).
2+ years of proven experience in implementing big data solutions in the data analytics space.
Extensive knowledge of Machine Learning and Deep Learning Frameworks
Python experience is a must
Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.
Experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker is preferred
Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API, and in-memory technologies.
Strong knowledge of developing highly scalable distributed systems using Open-source technologies.
Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), and orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).
Solid experience in Agile methodologies (Kanban and SCRUM).
The Skills You Bring
You have strong technical design and analysis skills.
You have the ability to deal with ambiguity and work in a fast-paced environment.
Your experience supporting critical applications.
You are familiar with applied data science methods, feature engineering, and machine learning algorithms.
Your Data wrangling experience with structured, semi-structured, and unstructured data.
Your experience building ML infrastructure, with an eye toward software engineering.
You have excellent communication skills, both through written and verbal channels.
You have excellent collaboration skills to work with multiple teams in the organization.
Your ability to understand and adapt to changing business priorities and technology advancements in the Big data and Data Science ecosystem.
Physical Requirements:
Ability to remain seated in a stationary position for prolonged periods.
No heavy lifting is expected, though occasional exertion of about 20 lbs. of force (e.g., picking up and computer/laptops) may be required.
Good manual dexterity is required to use common office equipment (e.g., computers, laptops, and mobile devices)
Overnight business travel may be required.
Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
The noise level in the work environment is usually moderate.

Schedule
Must be flexible on schedule and hours
Travel could be required
CareMetx considers equivalent combinations of experience and education for most jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply.
At CareMetx we work hard, we believe in what we do, and we want to be a company that does right by our employees. Our niche industry is an integral player in getting specialty products and devices to the patients who need them by managing reimbursements for those products, identifying alternative funding when insurers do not pay, and providing clinical services.
CareMetx is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against based on race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic orientation"
Applied Scientist - Text-To-Speech (TTS),Veritone,"Remote in New York, NY",3.1,PostedPosted 2 days ago,"$140,000 a year","Mental health awareness and support.
This position may be eligible for additional compensation and benefits including but not limited to: incentive compensation…",https://www.indeed.com/rc/clk?jk=4514adbc3a77c1b9&fccid=317a3c04ed06f798&vjs=3,"WE ARE VERITONE
We are driven by the belief that Artificial Intelligence is mankind's greatest invention. At Veritone, the mission is simple and ambitious: to democratize artificial intelligence and build a safer, more vibrant, transparent, and empowered society. We are determined to be an active contributor to shaping our future for the better. We care about the ethical implications of AI and the prosperity and well-being of all individuals, as well as the growth and continued successes of our employees, customers, and partners.
Veritone's purpose is more important than ever: we're here to enable every organization and every person with the power of AI. We're the creator of aiWARE, a hyper-expansive Enterprise AI platform and the world's first AI operating system, which orchestrates a diverse ecosystem of cognitive engines to power intelligent automation so we can solve some of the biggest challenges in the world in the energy; government, legal, and compliance; and media industries to help them accelerate workflows, save time and costs, and uncover new insights and opportunities.
WHAT YOU'LL DO
Research, implement, integrate, evaluate and monitor state-of-the-art Text-To-Speech (TTS) models and related voice technologies.
Improve processes and tooling for cleaning, processing and assessing training data.
Work with engineering- and product teams to improve voice building workflows.
Implement and maintain features of the speech synthesis engine, including language processing.
Assess the state of the art in research and help innovate, identify problems and recommend solutions.
Collaborate with various teams on new product features and improvements of existing products.
WHAT YOU'LL NEED
Bachelor's degree, Master's degree or PhD in a related field, e.g. Computer Science, Statistics, Mathematics, Physics or Electrical Engineering.
Deep learning skills, especially sequence and generative models (Attention, Transformers, GANs, Diffusion etc.).
Research or industry experience with speech technology, preferably TTS but also ASR, Voice Conversion, Speaker Diarization etc.
Experienced with Python and PyTorch.
BONUS POINTS IF
NLP and language processing skills.
Published relevant articles (e.g. Interspeech, ICASSP, Speech Communication, NeurIPS, CVPR).
Software Development experience in other languages such as C++, C, Go, Rust, Kotlin, Julia.
AWS and Docker knowledge (working with EC2, S3, CloudWatch, deploying Containers, writing Dockerfiles).
WHAT WE OFFER
A competitive compensation package
Equity Grant(s)
Employe Stock Purchase Plan (ESPP)
Remote first + Hybrid workplace
VERI Communities (Affinity Groups) & Belonging
Empowerment to build your career journey at Veritone
Flexible (Paid) Time Off
Benefits Program: medical, dental, vision, 401K matching, and more!
Mental health awareness and support
An opportunity to be a part of the next big thing in artificial intelligence!
OUR CULTURE
Loves learning & continuous growth; stays current on marketing trends
Can juggle multiple projects, priorities, and deadlines with a positive attitude
Comfortable in a fast-paced, small company environment
Collaborative and always contributing value
Driven to win as a team
Remote first workplace
Check us out!
Veritone is a leading provider of artificial intelligence (AI) technology and solutions. The company's proprietary operating system, aiWARE, orchestrates an expanding ecosystem of machine learning models to transform audio, video and other data sources into actionable intelligence. We love to continuously grow while staying ahead of trends and creating structure in an unstructured world.
If you've made it this far and align with our goals, we look forward to reviewing your qualifications!
DISCLOSURE
Our company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
(Colorado Only*): Minimum annual salary of $140,000.00. This base pay is for illustrative purposes only and will be determined based on skills and experience comparable to the job requirements. This position may be eligible for additional compensation and benefits including but not limited to: incentive compensation; health benefits; retirement benefits; life insurance; paid time off; parental leave and benefits; and other employee perks and benefits.
Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired in Colorado.

#LI-REMOTE

#LI-EK1"
Remote Data Scientist,Saint-Gobain,"Remote in Malvern, AR",3.9,PostedPosted 10 days ago,NaN,"Analyze data and implement algorithms or models using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics…",https://www.indeed.com/rc/clk?jk=7a953f2779cf9581&fccid=d7c7bd31a502f022&vjs=3,"Job Summary

#1 “This Job Matters”
What’s the job?
Saint-Gobain / CertainTeed is seeking a talented Data Scientist to join a diverse Data and Analytics team to create unique solutions to complex problems. The ideal candidate will be curious, possess creative problem skills, and be an excellent communicator.
Opportunities and projects exist in a wide range of functional business areas such manufacturing operations (industry 4.0, IIoT), maintenance, energy utilization, supply chain, marketing, and finance.
Duties & Responsibilities Overview:
Opportunities and projects exist in a wide range of functional business areas such as manufacturing operations, maintenance, energy utilization, supply chain, marketing, and finance.
Drive business discussions focused on creating value through advanced analytical techniques.
Analyze data and implement algorithms or models using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research.
Utilize a diverse array of technologies and tools to deliver insights – such as R, python, spark, hadoop, SAS, QlikView, and interactive notebooks.
Operationalize, publish, and monitor successful models.
Will you have to travel? Sometimes, to see the “process” and “be the ball” at one of our 60 manufacturing sites, but we will try to keep this to less than 10%.
REQUIRED QUALIFICATIONS
Required Qualifications

#2 “Your Skills Matter”
What do you bring?
Minimum: You are smart, driven, and extremely skilled at creatively solving problems with the right amount of curiosity and skepticism.
You build strong relationships with stakeholders, customers, colleagues, and suppliers. You can communicate complex findings to both technical and non-technical audiences in a clear and actionable manner.
You can code, but you are not necessarily a software developer.
You are very strong with data science fundamentals: extracting, cleaning, and preparing data to be modeled. You can get your own data and write your own queries.
You are always learning. If you have an advanced degree, great! If not, perhaps you have completed a targeted boot camp, online learning, or a few MOOCs.
You have a creative spirit and the desire to innovate.
Desirable:
You are comfortable with messy data. You are self-sufficient at iterating (quickly) through the exploratory data analysis stage. When appropriate, you reach out to subject matter experts for help and clarity.
You have demonstrated expertise in hypothesis testing, statistical analysis, applied machine learning, optimization, and/or simulation.
You create compelling data visualizations to share your story (e.g. ggplot2, seaborn, Power BI, Tableau, Qlik Sense, MicroStrategy).
You have strong descriptive and diagnostic analytical skills, but prefer to play in the predictive and prescriptive space.
You possess expertise in applied machine learning, optimization, and/or simulation.
You have experience with big data systems and tools (e.g. hive, impala, spark).
You pride yourself on reproducible research and analysis. You share your insights with interactive notebooks (e.g. jupyter, r markdown, beaker).
You have experience designing efficient algorithms with programming languages and tools such as R, python, matlab, KNIME, and/or SAS.
Your insights and findings have changed behavior. Your models or APIs have been deployed in production.
You have some financial analysis and accounting skills. You can read a P&L / income statement.

Additional Requirements
Preferred / Nice to Have:
Experience in construction products, manufacturing, and/or building materials.
Experience with real-time / streaming data analysis (e.g. spark streaming, storm, kafka).
Knowledge of SAP ERP systems, applications, processes, and data constructs as they apply to supply chain management, production operations, global sustainment, and finance.
Project management experience with planning and monitoring analytical projects using agile/scrum principles and tools such as Confluence / JIRA.
Basic web development skills: HTML, CSS, JS.
Experience with Qlik and/or Qlik Sense.
DevOps does not scare you.
Experience with command-line scripting and the ability to work in a Linux environment.
Experience with IoT or IIoT technologies (e.g. HMI, SCADA, MES, sensors).
Comfort with version control systems and practices.
Your visualizations are interactive and engaging: shiny, django, d3.js, dc.js.
Bonus Points:
You have an online portfolio: show us your GitHub, share your Stack Overflow username, you have public works, websites, visualizations, analyses, and/or tools.
You have contributed to open-source. Show us your contribution, application, or package.

Who are we ?
Additional Information

“You Matter to Us”
What are our perks?
We provide unique options to fit your unique lives! Our Total Rewards Program is customizable to accommodate your needs. Our menu of flexible options includes, but is not limited to:
Excellent healthcare options: Medical, vision, prescription & dental
Family Focus & Balance: Parental leave, paid time-off and Employee Assistance Program
Financial Security: Competitive 401(k), Company-funded Retirement Accumulation Plan and Employee Stock Purchase Program (PEG)
Tuition Reimbursement: Continuing education for every season of your career
Pet Insurance options: Insurance plan & prescription discount program for your furry friends
Employee Recognition Programs
PerkSpot: Our exclusive one-stop online discount marketplace
LiveWell: Rewarding you for living a healthy lifestyle

Company Summary

“What We Do Matters”
Why work for us?
At Saint-Gobain, our employees have pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, & Collaboration. Our company encourages diversity and inclusion in all its forms while our products make the world a more beautiful, safer, and sustainable home.

Legal Statement
Saint-Gobain provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Saint-Gobain is an equal opportunity employer of individuals with disabilities and supports the hiring of veterans."
Principal Product Data Scientist,Clover Health,"Remote in San Francisco, CA",3.1,PostedPosted 30+ days ago,NaN,"Structure our data so that you, your team, and other data scientists have a shared source of truth.
Work with our product leads to develop and refine successful…",https://www.indeed.com/rc/clk?jk=6f5764ba3981d372&fccid=6aa7204a59f52d86&vjs=3,"Clover is reinventing healthcare by working to keep people healthier.
As a Principal Product Data Scientist you will partner across the technology organization to guide product teams towards their quantitative goals. Your data-driven understanding of our products will shape the strategies that we use. Your product sense will shape the bets that our technology team makes.
As a Principal Product Data Scientist, you will:
Work with our product leads to develop and refine successful product strategies.
Guide our products to deliver value to our doctors and their patients
Establish the metrics that define team-level OKRs and keep the team focused on those numbers
Structure our data so that you, your team, and other data scientists have a shared source of truth
Represent the work and progress of your cross-functional team to technology and business leadership

You will love this job if:
You are excited when the product is successful, not just when the analysis is right.
You think about how things work in terms of data.
You actively curate your own product sense.
You lead through influence, building the trust and respect of your coworkers through good decisions and thoughtful collaboration
You should get in touch if:
You are an established data scientist, especially if you have also held non data-science roles
You have lead teams that built successful technology products
You are an experimentalist at heart
You have strong statistical, analytical, and technical skills and want to deliver business value with them"
DATA SCIENTIST III,H. Lee Moffitt Cancer Center,"Remote in Tampa, FL 33612",4.0,PostedPosted 30+ days ago,NaN,"The DS will implement Moffitt’s data and analytics strategy through the creation of predictive models and algorithms, manipulation of datasets to identify…",https://www.indeed.com/rc/clk?jk=490334f0d5ae364f&fccid=28ce112590363228&vjs=3,"The Data Scientist III (DS) will work directly with key stakeholders throughout Moffitt to document data-related needs and identify novel approaches, including advanced data science and analytics techniques, for addressing those needs. This position is remote but based in Florida.
The DS will incorporate these novel approaches into the larger Health Data Services and Digital Innovation strategies. The DS will liaise directly with both clinical and research faculty whose work is focused on genomics, radiomics, immunooncology, evolutionary therapy, patient-reported outcomes, and other areas to ensure Moffitt’s analytics methods are best positioned to accelerate discovery using Moffitt’s vast data assets. Optimizing the use of Moffitt’s data assets requires careful considerations of data formatting, lineage, quality, linkages, and visualizations. As Moffitt continues to incorporate new data types into its cloud-based analytics platform, modern strategies for data provenance, ingestion, linkage, and dissemination will become even more critical for the ultimate realization of the value of these data across the Center. Innovative data types include, but are not limited to, medical record text, radiology and pathology images, molecular data, and patient-generated data (wearables).
The DS will implement Moffitt’s data and analytics strategy through the creation of predictive models and algorithms, manipulation of datasets to identify trends and extract meaningful knowledge, development of data mining solutions using natural language processing and machine learning to extract structured data, and more. Such work will not only have an immediate and high impact on clinical use cases, such as tumor boards, but also on cutting-edge research such as automation of tumor segmentation.
The Data Scientist III is a senior professional within the Data Scientist career path. The DS will receive little instruction on day-to-day work and general instructions on new projects or assignments. The DS will work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. The DS will demonstrate good judgment in selecting methods and techniques for obtaining solutions. The DS will network with senior internal and external personnel. May be asked to mentor junior data scientists or on-board others.
The ideal candidate will have:
A minimum of 5 years of experience in quantitative analytics and applied data science OR Master’s degree in a quantitative field and 3 years of experience in quantitative analytics and applied data science.
Strong proficiency programming in R, Python, or adjacent languages
Experience performing advanced statistical analysis or building a variety of machine learning models
Experience writing SQL queries, mining large datasets (pandas/dplyr), and using data visualization tools (matplotlib/ggplot2/plotly)
Experience with git or similar version control in ML development and ML Ops.
Experience with cloud computing (i.e., AWS, Snowflake)
Experience working with healthcare data
Ability to translate complex datasets into simple recommendations
Excellent communication skills and the ability to write and speak about technical concepts to diverse stakeholder groups
Educational requirements:
A Bachelor’s degree Data science, mathematics, statistics, computer science, or related quantitative field. A Master’s in Data science, mathematics, statistics, computer science, or related quantitative field is preferred

Location: H. Lee Moffitt Cancer Center & Research Institute · Health Informatics
Schedule: Full Time, Day Shift, 5, 40"
Senior Data Scientist (Remote),Yelp,Remote,3.4,PostedPosted 30+ days ago,"$96,000 - $220,000 a year","Communicate key insights from analyses, experiments and data products to stakeholders.
Prior industry experience building online experimentation and machine…",https://www.indeed.com/rc/clk?jk=38c285cf84dd086e&fccid=0e94073a1c937bd1&vjs=3,"At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and businesses around the globe, from a review of a coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners and the general public.

The Data Science & Analytics team performs analyses, builds models, and designs experiments that directly impact Yelp’s products and users. Our teams sit in Yelp’s central product management organization and work directly with cross-functional leaders to understand quantitatively how our products are performing and where the largest opportunities are. We are adept at tasks like modeling user preferences, inference from user and marketplace experiments, and generating insights about the health of local economies. With diverse backgrounds and expertise, we strive for learning and growth in a collaborative environment.

This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US.
Where You Come In:
Join a team of Data Scientists and Data Science Analysts that develop analytical frameworks and reliable measurement strategies for Yelp products.
Design, execute, and analyze complex business and user experiments by providing thought leadership in the space
Partner with other Data Scientists and Data Engineers to set the vision for and develop our experimentation platform
Devise and evaluate models for diverse business needs, such as identifying growth opportunities, estimating the impact of new features on our platforms, and personalizing the user experience
Proactively research and build ETL pipelines for product and marketplace metrics
Communicate key insights from analyses, experiments and data products to stakeholders

What It Takes to Succeed:
MS/PhD in quantitative field and 5+ years of industry experience in a senior quantitative role.
Ability to apply statistical, analytical and technical expertise to product and business problems.
Prior experience structuring and leading impactful data science projects independently.
Oral and written communication skills to mentor colleagues.
Strong ability to troubleshoot and problem solve business challenges as well as persuade stakeholders to act.
Expertise in SQL, and R or Python for data analysis and platform development.
Enthusiasm for building a culture of learning and development.

It's Nice To Have:
Product analytics experience with small business or consumer technology products
Prior industry experience building online experimentation and machine learning platforms

What You'll Get
This opportunity has the option to be fully remote in locations across the US.
Compensation range is $96,000-$220,000 annually. You may also be offered a bonus, restricted stock units, and benefits.
For more information about US benefits at Yelp, please check out this link.

#LI-Remote

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”

We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.

Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience.

We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco).

We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.

CCPA Privacy Notice"
Data Scientist,Phasorsoft LLC,Remote,NaN,PostedToday,"$77,761 - $192,284 a year","Writes reports articulating the analytics insights and their business impacts.
• Proficiency in Python and PySpark and ability to derive insights from terabytes…",https://www.indeed.com/company/Phasorsoft-LLC/jobs/Data-Scientist-188d803ada19d1c0?fccid=37a2ae785d31fe1b&vjs=3,"Job Description :
Data Scientist Responsibilities:
Collaborates with translators to define technical problem statement and hypothesis to test; understand business problems to implement scalable and sustainable solutions
Coordinates with SMEs, translators, IT and data engineers to deliver holistic analytical solutions
Designs, creates, tests and implements complex models and algorithms that drive analytical solutions throughout the organization
Regularly tests and maintains analytical models to improve efficiency and keep up with changing business needs, ensuring timely analysis and testing for regular maintenance of solutions over time
Writes reports articulating the analytics insights and their business impacts
Conducts and leads meetings and workshops to explain findings
Supports translators in communicating the design, functioning and output of the analytical models/solutions developed
Qualifications
* 3+ years of experience in data science
* Master’s or other advanced degree in statistics, computer science or data science
* Proficiency in Python and PySpark and ability to derive insights from terabytes of time series-based data
* Experience with object-oriented design, coding and testing, engineering software platforms
* Thorough understanding of machine learning frameworks such as Scikit Learn and Tensorflow
* Experience in model deployment in Azure or local Python based servers such as Flask, Waitress, Gunicorn
* Understanding of advanced applied mathematics in AA, artificial intelligence and array operations
* Comfort in using SQL Server, PostgreSQL/ MySQL, and R
* Knowledge of programming languages (R, PHP, Python)
* Experience in industrial industry applications or process industries (chemicals, energy, petroleum refining, mining) preferred.
Job Type: Contract
Pay: $77,760.83 - $192,284.19 per year
Schedule:
8 hour shift
Work Location: Remote"
Data Scientist I (Remote),Lightcast,"Remote in Boston, MA 02110",5.0,PostedPosted 25 days ago,NaN,"Build pragmatic, scalable, and statistically rigorous solutions to large-scale labor market data problems by leveraging or developing state-of-the-art…",https://www.indeed.com/rc/clk?jk=84cf990abc56d41e&fccid=9a189674b545072a&vjs=3,"The Data Scientist works with the Product and Data teams to clean, organize, and analyze large volumes of data and produce innovative models, datasets, and visualizations that address our clients’ most pressing problems about the future of work.
Major Responsibilities:
Use SQL, Python, or other related analytical tools and programming languages to query, organize, clean, and analyze large datasets.
Build pragmatic, scalable, and statistically rigorous solutions to large-scale labor market data problems by leveraging or developing state-of-the-art statistical and machine learning methodologies on top of Lightcast's data infrastructure.
Support product development by performing quantitative analysis using Lightcast’s world-class demand and supply data, as well as other data sources to investigate, manipulate, and model solutions for products.
Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations.
Communicate key insights and recommendations to internal and external stakeholders across the organization.
Develop innovative analytical models and document the methodology and findings in a manner accessible to a variety of audiences.
Contribute to positive team culture by participating in team-building activities and being a supportive and empathetic colleague.
Perform other duties as assigned.
Education and Experience:
1 - 3 years of industry or graduate research experience solving analytical problems and building models using quantitative, statistical or machine learning approaches.
Bachelor's degree in Data Science, or a field with a strong quantitative and analytic focus such as Computer Science, Engineering, Mathematics, Statistics, Operations Research, or other related field.
Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) and Boston (MA) and offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.

Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

#LI-Remote"
Data Scientist,Octo,"Remote in Reston, VA 20191",4.0,PostedPosted 30+ days ago,NaN,"Research best practices for building machine learning models for data.
Must have experience with Power BI, python, text mining, and machine learning…",https://www.indeed.com/rc/clk?jk=b4a193720ca37e2e&fccid=b5c75a20c6f3d3e5&vjs=3,"You...
As a Data Science Engineer at Octo, you will join an Agile program responsible for the discovery, design, and development of new, mission-critical, high priority applications and processes from the ground up at the Transportation Security Administration. You will be responsible for working in an Agile framework to develop data science models and assist. The Data Scientist will examine flight and mission schedules, develop automated model pipelines, and develop power BI dashboards to assist our customers. Must have experience with Power BI, python, text mining, and machine learning technologies.
Us...
We were founded as a fresh alternative in the Government Consulting Community and are dedicated to the belief that results are a product of analytical thinking, agile design principles and that solutions are built in collaboration with, not for, our customers. This mantra drives us to succeed and act as true partners in advancing our client’s missions.
Program Mission...
You will be working on a high-profile program supporting mission-critical application development for the Transportation Security Administration (TSA). Your team on the program will have a direct say with your participation in the design and implementation to a mission-critical applications starting at the design phase to include the development, implementation, and maintenance of a technology roadmap.
Responsibilities…
Build, test and monitor classical and deep learning models with various data types.
Report model results to Data Science team and stakeholders.
Build dashboards to visualize data and model results.
Research best practices for building machine learning models for data.
Find and develop automated solutioning algorithms

Requirements...
Experience creating and managing large data tables (structured mostly).
Experience with coding in Python, Apache Spark, R, or Matlab.
Knowledge of using standard data science libraries
Knowledge of standard data science techniques such as feature engineering, data exploration, model development, validation etc.
Experience with coding in SQL.
Experience with building data visualizations and desktop software such as Tableau and PowerBI.
Comfortable presenting technical/complex subject matter.
Able to communicate effectively with business leaders.
Must possess excellent problem-solving abilities and data analysis experience.
Motivated and self-driven with focus on customer satisfaction.
Desired Skills:
Experience with building data visualizations through Python libraries such as matplotlib and bokeh, as well as desktop software such as Tableau and PowerBI.
Working knowledge of management/tracking utilities such as JIRA/Confluence, a plus
Experience working in a SAFe Agile environment and knowledge of Agile philosophies
Able to clearly communicate and provide positive recommendation of improvements to existing software applications
Experience with Apache Spark.
Experience with machine learning
Years of Experience: 3+ years of relevant experience preferred
Education: Bachelor’s degree in a relevant field preferred
Location: Remote within U.S.
Clearance: Ability to obtain and maintain a Public Trust is required. Active TSA clearance strongly preferred."
Data Scientist,Surya Systems,"Remote in San Francisco, CA",NaN,PostedPosted 30+ days ago,$80 an hour,"Ownership: Own analytics projects end-to-end, working with stakeholders to scope the problem, digging into the data to get insights, and communicating results.",https://www.indeed.com/rc/clk?jk=f36c417b5c05e7a9&fccid=af1cebb7f11ae180&vjs=3,"Hiring : Data Scientist
Location : SFO, CA (Remote)
Duration : 12+ Months
JD
Responsibilities
Ownership: Own analytics projects end-to-end, working with stakeholders to scope the problem, digging into the data to get insights, and communicating results
Experimentation: Analyze experiments to measure the effectiveness of our digital marketing spend,
Insights: Generate insights about customer segments and the company's most valuable guests to improve ad effectiveness and optimize spend
Communication: Work closely with a range of stakeholders to understand and improve marketing’s impact
Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights
Hours: Will need to work Pacific hours but can do so from anywhere.
Qualifications
Degree in a quantitative field (e.g. Economics, Statistics, Mathematics).
5+ years industry experience in a quantitative analysis role
Skilled in database usage (SQL) and statistical programming (Python, R)
Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact
Intermediate knowledge of causal inference and experimentation
Entrepreneurial drive and demonstrated ability to own projects from start to completion in a fast-based environment
Preferred Qualifications
Experience in consulting or marketing analytics
Thanks & Regards ...
G Naveen Kumar
Email : GavvalaN@suryasys.com
Desk : 215-344-2345
Surya Systems, Inc
120 E Uwchlan Avenue Suite 203
Exton, PA 19341
WWW.SURYASYS.COM"
Applied Scientist,Five9,"Remote in San Ramon, CA 94583",3.6,PostedPosted 1 day ago,NaN,"Bachelor's in computer science, machine learning, data science or AI.
2-3 years of experience in natural language processing technologies, such as intent…",https://www.indeed.com/rc/clk?jk=79e5740d0c41829b&fccid=401ad1536026b66d&vjs=3,"Five9 provides businesses reliable, scalable, and secure cloud contact center software designed to create exceptional customer experiences, increase agent productivity, and deliver tangible business results.
We are driven by a passion to transform contact centers into customer engagement centers of excellence. Since 2001, Five9 has led the cloud revolution in contact centers, helping organizations transition from legacy premise-based solutions to the cloud.
The Five9 AI team is responsible for the development and delivery of AI models and systems that form the backbone of several products, including Five9 Agent Assist, Five9 Interactive Virtual Assistant and several unannounced products under active development. These products are the centerpiece of Five9's strategy to dramatically expand its market footprint, and more importantly, transform the contact center into something that delivers a human experience.
The team is seeking an Applied Scientist to join this small but fast-growing group. The role provides an opportunity to have a massive impact across multiple products, do industry-leading work, disrupt the contact center industry, and see the results of your efforts directly in front of end users.
Responsibilities:
Build and test models that can perform various NLP tasks like classification, entity extraction, summarization etc. on Conversational data.
Work with the software development teams to assist in the productization of models.
Work with customers to tune the models that are deployed in production and make periodic modifications to the models.
Use various metrics to measure models' performance during development as well as in production.
Innovate on the creation of new tools and techniques that simplify definition, evaluation, and improvement of the models by non-AI experts
Keep up to date with the state-of-the-art developments in NLP research, open-source frameworks, and MLOps
Skills:
3+ years of experience in software
2-3 years of experience in natural language processing technologies, such as intent detection, summarization, and sentiment
Expertise with Python, which must include experience with ML/NLP tools and libraries such as scikit-learn, PyTorch, TensorFlow, spaCy, Hugging Face, etc.
Experience with the Google NLP suite (Dialogflow, CCAI) is a plus.
Experience with MLOps techniques a plus
Excellent written and verbal communication skills, including executive level communications
Experience in Contact center industry a definite plus.
Bachelor's in computer science, machine learning, data science or AI
Learn more about our Employee Benefits offerings and other perks here.
#LI-EW1
Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer.
View our privacy policy https://www.five9.com/pt-pt/legal.
-
Our headquarters are located in the San Francisco Bay Area with global hubs in the United Kingdom, Germany, Philippines, Portugal, and Australia."
Data Scientist - 100% Remote,Paramount Pictures,Remote,NaN,EmployerActive 2 days ago,NaN,"2+ years of experience in a data analytics or data science role.
Working with data visualization team by delivering accurate and consistent data that.",https://www.indeed.com/company/Gloss-Genius/jobs/Data-Scientist-84e8267d70c711c4?fccid=a4d184ea891187ce&vjs=3,"Job Description:
Under the mentorship of the Executive Director of Data Analytics & Data Science, this role will be responsible for developing KPIs, designing experiments, and developing various advanced analytics solutions to inform decision-making ranging from greenlighting and marketing to distribution at Paramount Pictures.
The right person for the role is a data scientist who thoroughly enjoys defining and solving mathematical problems to address business questions. The ideal candidate is excited about delivering the best-in-class data-driven insights and data science tools in the movie industry.
More specifically, these responsibilities include, but are not limited to:
- Building key metrics to track marketing campaign and box office performance
- Automating and optimizing the routine update of these key metrics
- Working with non-technical stakeholders to design experiments or surveys to derive
audience or messaging insights
- Researching and developing statistical and machine learning models to support various business initiatives
- Presenting analytics or modeling results to technical and non-technical stakeholders
- Working with data engineers to obtain useful and quality data for data science projects
- Working with data visualization team by delivering accurate and consistent data that
meet their reporting need
Basic Qualifications:
- 2+ years of experience in a data analytics or data science role
- Graduate Degree in Data Science, Statistics, Business Analytics, Computer Science,
Engineering, Applied Mathematics, or other quantitative fields
- Advanced graduate coursework in Machine Learning and Statistics
- Highly experienced with SQL and Python (or R)
- Working knowledge of data visualization tools such as Tableau, Google Data Studio, or Amazon QuickSight
- Experience with cleansing and manipulating large datasets and conducting deep
statistical analysis
- Experience with fitting, evaluating, and interpreting statistical and machine learning
models independently in a business setting
- Strong verbal and written communications skills both to technical and non-technical
audiences
- Ability to prioritize and meet timelines in a dynamic environment
- Great attention to detail
Preferred Qualifications:
-Working knowledge of Snowflake, AWS cloud services, and Google Cloud Platform APIs
- Experience with cloud machine-learning tools
- Experience with analyzing and presenting survey data
- Comfortable reading research papers and applying most cutting-edge models to
projects
Founded in 1912, Paramount Pictures works with the entertainment industry’s biggest filmmakers and brightest stars to produce and distribute entertainment around the world. The iconic Paramount logo has opened some of the most successful and beloved films in cinematic history, including timeless classics such as Sunset Boulevard, The Godfather, Forrest Gump and Ferris Bueller’s Day Off; and blockbuster franchises such as Star Trek, Transformers, and Mission: Impossible. Recent innovative break-out films such as A Quiet Place and Rocketman have further elevated Paramount’s film legacy. On the small screen, Paramount Television Studios’ Defending Jacob, 13 Reasons Why, The Haunting of Bly Manor, The Alienist: Angel of Darkness, Made for Love and Tom Clancy’s Jack Ryan have also been thrilling audiences. With a beautiful 65-acre lot in the heart of Hollywood, a worldwide network of offices and a culture of engagement, Paramount’s passionate employees ensure the studio continues to deliver creativity and innovation to a dynamic industry. Paramount is a subsidiary of ViacomCBS, which reaches 700 million global subscribers through MTV, Nickelodeon, Comedy Central, BET and other media networks.
Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access. https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500. Only messages left for this purpose will be returned.
Paramount believes in creating environments that allow our primary focus to remain on providing entertainment, education and information to our millions of viewers around the world. As part of this commitment to health and safety, Paramount requires COVID-19 vaccines for current U.S. employees, including all newly hired employees, subject to applicable law. Union employees are subject to the agreement reached between the Company and the applicable Union.
Job Type: Full-time
Benefits:
401(k)
401(k) matching
Dental insurance
Employee assistance program
Employee discount
Flexible schedule
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Professional development assistance
Referral program
Relocation assistance
Retirement plan
Tuition reimbursement
Vision insurance
Schedule:
8 hour shift
Supplemental pay types:
Bonus pay
Signing bonus
Experience:
Data Science: 2 years (Required)
Work Location: Remote"
"Data Scientist, Product Analytics",NEAR,"Remote in San Francisco, CA",NaN,PostedPosted 30+ days ago,NaN,"Focus on deep insights to understand the needs of various segments of users and help identify new product opportunities.
Fluency in Python for Data Analytics;",https://www.indeed.com/rc/clk?jk=582b99443a3eeeda&fccid=a089a346aa023259&vjs=3,"About Pagoda
Pagoda is the first-ever Web3 Startup Platform where developers and entrepreneurs can build, launch, and operate new blockchain-based products and services. As a primary builder of the NEAR Protocol, Pagoda delivers capacity, velocity, simplicity, and affordability needed to power tomorrow's Web3 startups.
We are looking for an innovative, empathetic, and productive person who is excited about building the next generation of crypto startups, feels comfortable challenging opinions, and most importantly who shares with us the same desire to make the web free again.
We encourage people of all backgrounds to apply. Pagoda is committed to creating an inclusive culture, and we celebrate diversity of all kinds.
What You'll Get For Joining:
Unlimited Annual Leave / PTO
$2,000 Yearly Continued Education Reimbursement
$2,000 Home Office Setup Reimbursement
Yearly Company Retreats (2022 in Lisbon!)
Paid Holiday Week: the last week of the year
Paid Summer Wellness Week: the first week of July
Mental Health Support and access to licensed therapists through Spill, 100% paid by us
About The Role:
Pagoda is the first-ever Web3 Startup Platform where developers and entrepreneurs can build, launch, and operate new blockchain-based products and services. As a primary builder of the NEAR Protocol, Pagoda delivers the capacity, velocity, simplicity, and affordability needed to power tomorrow's Web3 startups.
The Pagoda Data Platform team is looking for Data Scientists to build product metrics and deep insights to user behavior for all product lines at the company.
What You'll Be Doing:
Collaborate with product managers and executives to understand user behavior across all our products, both on-chain (NEAR) and off-chain (web applications and CLI tools);
Build actionable product metrics using various business intelligence and data visualization tools;
Respond to new data requests, understanding the underlying information needed, and estimating the technical efforts to query the data, visualize and present the result;
Focus on deep insights to understand the needs of various segments of users and help identify new product opportunities.
Cultivate data-driven decision making culture at the company and constantly research and adopt the most recent best practices in product analytics;
Work in a global, remote-first environment, collaborating on a daily basis with teams in different regions and with different cultural and language backgrounds
Maintain fast time to insight for all stakeholders you interact with.
What We're Looking For:
Fluency in writing complex analytical SQL queries;
Fluency in any of BI tools such as Tableau, Looker, Data Studio and similar;
Fluency in Python for Data Analytics;
Experience in finding customer retention solutions and churn patterns through data analytics;
Strong data storytelling skills and ability to explain complex insights in a succinct way;
Strong communication and remote friendly working skills;
Bachelor's Degree in Computer Science or related fields is a must
We'd Love If You Have:
Experience working with DataBricks and BigQuery technologies;
Experience with custom events with Google Analytics;
Familiarity with crypto or blockchain technologies;
Experience working at a startup.
Here's What Our Interview Process Looks Like:
Depending on calendar availability, from the first stage to the final stage, we do our best to keep the entire process to under three weeks. Our interviews take place via Zoom and typically consists of the following stages:
Internal Recruiter Call (30 to 45 minutes)
Technical Interviews (4 x 60 minutes)
Pagoda Values Interview (30 to 45 minutes)
Please let us know if you require any special requirements for your interview and we'll do our best to accommodate.
Ideal Location For This Role
This is a fully remote role, so that your timezone matches or overlaps with our leadership for this role, you'll ideally be located in Americas or Europe.
Our Values at Pagoda
Innovate and deliver—so our customers can build. We deliver new solutions for real, often urgent, customer needs. Practical over hype. We uphold our standards of excellence while balancing velocity and pragmatism.
Focus precious time and energy on what matters. We are intentional about where we aim our resources. We channel our talents to focus on the critical missions in order to make an outsized impact.
Favor ownership, agency and action. Everyone is an owner. As individuals, we are responsible and accountable for our work. We empower builders to make decisions and innovate without the burden of unnecessary roadblocks or complexity.
Work as a team of empathetic humans. We practice mutual respect, open communication, humility and collaboration. We are kind and empathetic. We are welcoming towards diversity in all forms, including differences of perspective.
Never break trust. Integrity is rare—and valuable—in this space. Reputation is hard to build and easy to break."
Senior Data Analyst,Cash App,"Remote in San Francisco, CA 94103",5.0,PostedPosted 8 days ago,NaN,"This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on…",https://www.indeed.com/rc/clk?jk=00af3167fc62d3db&fccid=23ddedaf27ad006f&vjs=3,"Company Description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. This is our mission, and it’s why working at Cash App means so much more than a job.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

Check out our locations, benefits, and more at cash.app/careers!

Job Description

We are looking for a Senior Data Analyst to join our new and growing analytics team within Cash App’s Data Science Organization. This team is dedicated to enabling data self-service for the teams that respond to both regulatory and external/internal business partner inquiries. This is a new horizontal analytics discipline at Cash App, and we expect it to expand to support the broader set of analytics questions as it grows. The team is in the boot up process and is beginning to establish partnerships across the Cash business including a variety of stakeholders from Product, Engineering, Counsel, and Operations. We are looking to bring on technically strong analysts with an interest in becoming subject matter experts (SMEs) across wide surfaces within Cash App.
This analytics team will need to design solutions that increase automation as we scale. This team will partner directly with others within the organization to establish best practices and develop more advanced technical skills to power this journey.
We are looking for analysts with broader skill sets that include the ability to quickly understand the business context of a wide variety of products at Cash App, and the ability to help design more scalable and repeatable solutions to complex problems. Please expect an interview process which assesses both technical skills and broader business acumen.

In this role, you will:
Act as a point of contact for confidential data requests from the teams that respond to regulators, partners, and litigations received for Cash App
Interface with in-house and outside counsel teams to understand and deliver repeatable data access within defined timelines
Focus on designing self service tools that eliminate the need for multiple Ad-Hoc requests related to the same subject matter
Take ownership of proactively documenting team’s knowledge to enable others to quickly solve the next challenge
Partner with the broader Data Science team to automate QA requirements for our self service tools (dabble in test driven design!)
Identify data and process improvement opportunities; propose solutions for the future and work cross functionally to implement those recommendations
Perform analyses on large data sets to provide insights and actionable recommendations that will help satisfy various legal, regulatory, and compliance requests
Work closely with Data Engineers and other cross-functional teams to build scalable data infrastructure to quickly satisfy a wide range of requests from our legal and compliance teams
Be a SME both technically and functionally, for Cash App data, identifying actionable insights that inform business processes and how we respond to regulatory requests
Maintain confidentiality regarding the work you do, and the nature of the requests

Qualifications
3+ years of experience as a Data Analyst with 2+ years of experience in a compliance, regulatory, or legal environment
Ability to communicate and partner with legal, business, and technical teams clearly, and translate complex information needs into specific action items
Experience gathering business requirements, creating ad-hoc reports, and designing scalable solutions to automate those ad-hoc reports
Experience querying, analyzing, and reporting large data-sets to answer complex business questions
Technical skills must include Advanced SQL, Data Visualization via tools like Tableau/Looker/Mode
Creative data visualizer
Able to create a report without use of Excel/GSheet
Effective time management skills with the ability to adjust to multiple demands, shifting priorities and rapid change
Strong ability to break down large tasks into smaller, achievable milestones
Strong ability to both communicate and negotiate expectations for your projects with stakeholders
Proven ability to work both individually and in a team environment and display a positive business presence and sound judgment with management and external personnel

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $138,200 - USD $169,000
Zone B: USD $128,500 - USD $157,100
Zone C: USD $121,700 - USD $148,700
Zone D: USD $110,600 - USD $135,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverage
Retirement Plans including company match
Employee Stock Purchase Program
Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
Paid parental and caregiving leave
Paid time off
Learning and Development resources
Paid Life insurance, AD&D. and disability benefits
Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution."
DATA SCIENTIST III,H. Lee Moffitt Cancer Center,"Remote in Tampa, FL 33612",4.0,PostedPosted 30+ days ago,NaN,"The DS will implement Moffitt’s data and analytics strategy through the creation of predictive models and algorithms, manipulation of datasets to identify…",https://www.indeed.com/rc/clk?jk=490334f0d5ae364f&fccid=28ce112590363228&vjs=3,"The Data Scientist III (DS) will work directly with key stakeholders throughout Moffitt to document data-related needs and identify novel approaches, including advanced data science and analytics techniques, for addressing those needs. This position is remote but based in Florida.
The DS will incorporate these novel approaches into the larger Health Data Services and Digital Innovation strategies. The DS will liaise directly with both clinical and research faculty whose work is focused on genomics, radiomics, immunooncology, evolutionary therapy, patient-reported outcomes, and other areas to ensure Moffitt’s analytics methods are best positioned to accelerate discovery using Moffitt’s vast data assets. Optimizing the use of Moffitt’s data assets requires careful considerations of data formatting, lineage, quality, linkages, and visualizations. As Moffitt continues to incorporate new data types into its cloud-based analytics platform, modern strategies for data provenance, ingestion, linkage, and dissemination will become even more critical for the ultimate realization of the value of these data across the Center. Innovative data types include, but are not limited to, medical record text, radiology and pathology images, molecular data, and patient-generated data (wearables).
The DS will implement Moffitt’s data and analytics strategy through the creation of predictive models and algorithms, manipulation of datasets to identify trends and extract meaningful knowledge, development of data mining solutions using natural language processing and machine learning to extract structured data, and more. Such work will not only have an immediate and high impact on clinical use cases, such as tumor boards, but also on cutting-edge research such as automation of tumor segmentation.
The Data Scientist III is a senior professional within the Data Scientist career path. The DS will receive little instruction on day-to-day work and general instructions on new projects or assignments. The DS will work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. The DS will demonstrate good judgment in selecting methods and techniques for obtaining solutions. The DS will network with senior internal and external personnel. May be asked to mentor junior data scientists or on-board others.
The ideal candidate will have:
A minimum of 5 years of experience in quantitative analytics and applied data science OR Master’s degree in a quantitative field and 3 years of experience in quantitative analytics and applied data science.
Strong proficiency programming in R, Python, or adjacent languages
Experience performing advanced statistical analysis or building a variety of machine learning models
Experience writing SQL queries, mining large datasets (pandas/dplyr), and using data visualization tools (matplotlib/ggplot2/plotly)
Experience with git or similar version control in ML development and ML Ops.
Experience with cloud computing (i.e., AWS, Snowflake)
Experience working with healthcare data
Ability to translate complex datasets into simple recommendations
Excellent communication skills and the ability to write and speak about technical concepts to diverse stakeholder groups
Educational requirements:
A Bachelor’s degree Data science, mathematics, statistics, computer science, or related quantitative field. A Master’s in Data science, mathematics, statistics, computer science, or related quantitative field is preferred

Location: H. Lee Moffitt Cancer Center & Research Institute · Health Informatics
Schedule: Full Time, Day Shift, 5, 40"
Senior Data Scientist (Remote),Yelp,Remote,3.4,PostedPosted 30+ days ago,"$96,000 - $220,000 a year","Communicate key insights from analyses, experiments and data products to stakeholders.
Prior industry experience building online experimentation and machine…",https://www.indeed.com/rc/clk?jk=38c285cf84dd086e&fccid=0e94073a1c937bd1&vjs=3,"At Yelp, it’s our mission to connect people with great local businesses. Yelp’s unique dataset contains billions of interactions between users and businesses around the globe, from a review of a coffee shop to requesting a repair quote with a photo of a leaky faucet. Data Scientists at Yelp work to make sense of these interactions to deliver impactful analyses and products to our users, business partners and the general public.

The Data Science & Analytics team performs analyses, builds models, and designs experiments that directly impact Yelp’s products and users. Our teams sit in Yelp’s central product management organization and work directly with cross-functional leaders to understand quantitatively how our products are performing and where the largest opportunities are. We are adept at tasks like modeling user preferences, inference from user and marketplace experiments, and generating insights about the health of local economies. With diverse backgrounds and expertise, we strive for learning and growth in a collaborative environment.

This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US.
Where You Come In:
Join a team of Data Scientists and Data Science Analysts that develop analytical frameworks and reliable measurement strategies for Yelp products.
Design, execute, and analyze complex business and user experiments by providing thought leadership in the space
Partner with other Data Scientists and Data Engineers to set the vision for and develop our experimentation platform
Devise and evaluate models for diverse business needs, such as identifying growth opportunities, estimating the impact of new features on our platforms, and personalizing the user experience
Proactively research and build ETL pipelines for product and marketplace metrics
Communicate key insights from analyses, experiments and data products to stakeholders

What It Takes to Succeed:
MS/PhD in quantitative field and 5+ years of industry experience in a senior quantitative role.
Ability to apply statistical, analytical and technical expertise to product and business problems.
Prior experience structuring and leading impactful data science projects independently.
Oral and written communication skills to mentor colleagues.
Strong ability to troubleshoot and problem solve business challenges as well as persuade stakeholders to act.
Expertise in SQL, and R or Python for data analysis and platform development.
Enthusiasm for building a culture of learning and development.

It's Nice To Have:
Product analytics experience with small business or consumer technology products
Prior industry experience building online experimentation and machine learning platforms

What You'll Get
This opportunity has the option to be fully remote in locations across the US.
Compensation range is $96,000-$220,000 annually. You may also be offered a bonus, restricted stock units, and benefits.
For more information about US benefits at Yelp, please check out this link.

#LI-Remote

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”

We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.

Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience.

We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco).

We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.

CCPA Privacy Notice"
Data Scientist,Phasorsoft LLC,Remote,NaN,PostedToday,"$77,761 - $192,284 a year","Writes reports articulating the analytics insights and their business impacts.
• Proficiency in Python and PySpark and ability to derive insights from terabytes…",https://www.indeed.com/company/Phasorsoft-LLC/jobs/Data-Scientist-188d803ada19d1c0?fccid=37a2ae785d31fe1b&vjs=3,"Job Description :
Data Scientist Responsibilities:
Collaborates with translators to define technical problem statement and hypothesis to test; understand business problems to implement scalable and sustainable solutions
Coordinates with SMEs, translators, IT and data engineers to deliver holistic analytical solutions
Designs, creates, tests and implements complex models and algorithms that drive analytical solutions throughout the organization
Regularly tests and maintains analytical models to improve efficiency and keep up with changing business needs, ensuring timely analysis and testing for regular maintenance of solutions over time
Writes reports articulating the analytics insights and their business impacts
Conducts and leads meetings and workshops to explain findings
Supports translators in communicating the design, functioning and output of the analytical models/solutions developed
Qualifications
* 3+ years of experience in data science
* Master’s or other advanced degree in statistics, computer science or data science
* Proficiency in Python and PySpark and ability to derive insights from terabytes of time series-based data
* Experience with object-oriented design, coding and testing, engineering software platforms
* Thorough understanding of machine learning frameworks such as Scikit Learn and Tensorflow
* Experience in model deployment in Azure or local Python based servers such as Flask, Waitress, Gunicorn
* Understanding of advanced applied mathematics in AA, artificial intelligence and array operations
* Comfort in using SQL Server, PostgreSQL/ MySQL, and R
* Knowledge of programming languages (R, PHP, Python)
* Experience in industrial industry applications or process industries (chemicals, energy, petroleum refining, mining) preferred.
Job Type: Contract
Pay: $77,760.83 - $192,284.19 per year
Schedule:
8 hour shift
Work Location: Remote"
Data Scientist I (Remote),Lightcast,"Remote in Boston, MA 02110",5.0,PostedPosted 25 days ago,NaN,"Build pragmatic, scalable, and statistically rigorous solutions to large-scale labor market data problems by leveraging or developing state-of-the-art…",https://www.indeed.com/rc/clk?jk=84cf990abc56d41e&fccid=9a189674b545072a&vjs=3,"The Data Scientist works with the Product and Data teams to clean, organize, and analyze large volumes of data and produce innovative models, datasets, and visualizations that address our clients’ most pressing problems about the future of work.
Major Responsibilities:
Use SQL, Python, or other related analytical tools and programming languages to query, organize, clean, and analyze large datasets.
Build pragmatic, scalable, and statistically rigorous solutions to large-scale labor market data problems by leveraging or developing state-of-the-art statistical and machine learning methodologies on top of Lightcast's data infrastructure.
Support product development by performing quantitative analysis using Lightcast’s world-class demand and supply data, as well as other data sources to investigate, manipulate, and model solutions for products.
Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations.
Communicate key insights and recommendations to internal and external stakeholders across the organization.
Develop innovative analytical models and document the methodology and findings in a manner accessible to a variety of audiences.
Contribute to positive team culture by participating in team-building activities and being a supportive and empathetic colleague.
Perform other duties as assigned.
Education and Experience:
1 - 3 years of industry or graduate research experience solving analytical problems and building models using quantitative, statistical or machine learning approaches.
Bachelor's degree in Data Science, or a field with a strong quantitative and analytic focus such as Computer Science, Engineering, Mathematics, Statistics, Operations Research, or other related field.
Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) and Boston (MA) and offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.

Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

#LI-Remote"
Data Scientist,Octo,"Remote in Reston, VA 20191",4.0,PostedPosted 30+ days ago,NaN,"Research best practices for building machine learning models for data.
Must have experience with Power BI, python, text mining, and machine learning…",https://www.indeed.com/rc/clk?jk=b4a193720ca37e2e&fccid=b5c75a20c6f3d3e5&vjs=3,"You...
As a Data Science Engineer at Octo, you will join an Agile program responsible for the discovery, design, and development of new, mission-critical, high priority applications and processes from the ground up at the Transportation Security Administration. You will be responsible for working in an Agile framework to develop data science models and assist. The Data Scientist will examine flight and mission schedules, develop automated model pipelines, and develop power BI dashboards to assist our customers. Must have experience with Power BI, python, text mining, and machine learning technologies.
Us...
We were founded as a fresh alternative in the Government Consulting Community and are dedicated to the belief that results are a product of analytical thinking, agile design principles and that solutions are built in collaboration with, not for, our customers. This mantra drives us to succeed and act as true partners in advancing our client’s missions.
Program Mission...
You will be working on a high-profile program supporting mission-critical application development for the Transportation Security Administration (TSA). Your team on the program will have a direct say with your participation in the design and implementation to a mission-critical applications starting at the design phase to include the development, implementation, and maintenance of a technology roadmap.
Responsibilities…
Build, test and monitor classical and deep learning models with various data types.
Report model results to Data Science team and stakeholders.
Build dashboards to visualize data and model results.
Research best practices for building machine learning models for data.
Find and develop automated solutioning algorithms

Requirements...
Experience creating and managing large data tables (structured mostly).
Experience with coding in Python, Apache Spark, R, or Matlab.
Knowledge of using standard data science libraries
Knowledge of standard data science techniques such as feature engineering, data exploration, model development, validation etc.
Experience with coding in SQL.
Experience with building data visualizations and desktop software such as Tableau and PowerBI.
Comfortable presenting technical/complex subject matter.
Able to communicate effectively with business leaders.
Must possess excellent problem-solving abilities and data analysis experience.
Motivated and self-driven with focus on customer satisfaction.
Desired Skills:
Experience with building data visualizations through Python libraries such as matplotlib and bokeh, as well as desktop software such as Tableau and PowerBI.
Working knowledge of management/tracking utilities such as JIRA/Confluence, a plus
Experience working in a SAFe Agile environment and knowledge of Agile philosophies
Able to clearly communicate and provide positive recommendation of improvements to existing software applications
Experience with Apache Spark.
Experience with machine learning
Years of Experience: 3+ years of relevant experience preferred
Education: Bachelor’s degree in a relevant field preferred
Location: Remote within U.S.
Clearance: Ability to obtain and maintain a Public Trust is required. Active TSA clearance strongly preferred."
Data Scientist,Surya Systems,"Remote in San Francisco, CA",NaN,PostedPosted 30+ days ago,$80 an hour,"Ownership: Own analytics projects end-to-end, working with stakeholders to scope the problem, digging into the data to get insights, and communicating results.",https://www.indeed.com/rc/clk?jk=f36c417b5c05e7a9&fccid=af1cebb7f11ae180&vjs=3,"Hiring : Data Scientist
Location : SFO, CA (Remote)
Duration : 12+ Months
JD
Responsibilities
Ownership: Own analytics projects end-to-end, working with stakeholders to scope the problem, digging into the data to get insights, and communicating results
Experimentation: Analyze experiments to measure the effectiveness of our digital marketing spend,
Insights: Generate insights about customer segments and the company's most valuable guests to improve ad effectiveness and optimize spend
Communication: Work closely with a range of stakeholders to understand and improve marketing’s impact
Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights
Hours: Will need to work Pacific hours but can do so from anywhere.
Qualifications
Degree in a quantitative field (e.g. Economics, Statistics, Mathematics).
5+ years industry experience in a quantitative analysis role
Skilled in database usage (SQL) and statistical programming (Python, R)
Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact
Intermediate knowledge of causal inference and experimentation
Entrepreneurial drive and demonstrated ability to own projects from start to completion in a fast-based environment
Preferred Qualifications
Experience in consulting or marketing analytics
Thanks & Regards ...
G Naveen Kumar
Email : GavvalaN@suryasys.com
Desk : 215-344-2345
Surya Systems, Inc
120 E Uwchlan Avenue Suite 203
Exton, PA 19341
WWW.SURYASYS.COM"
Applied Scientist,Five9,"Remote in San Ramon, CA 94583",3.6,PostedPosted 1 day ago,NaN,"Bachelor's in computer science, machine learning, data science or AI.
2-3 years of experience in natural language processing technologies, such as intent…",https://www.indeed.com/rc/clk?jk=79e5740d0c41829b&fccid=401ad1536026b66d&vjs=3,"Five9 provides businesses reliable, scalable, and secure cloud contact center software designed to create exceptional customer experiences, increase agent productivity, and deliver tangible business results.
We are driven by a passion to transform contact centers into customer engagement centers of excellence. Since 2001, Five9 has led the cloud revolution in contact centers, helping organizations transition from legacy premise-based solutions to the cloud.
The Five9 AI team is responsible for the development and delivery of AI models and systems that form the backbone of several products, including Five9 Agent Assist, Five9 Interactive Virtual Assistant and several unannounced products under active development. These products are the centerpiece of Five9's strategy to dramatically expand its market footprint, and more importantly, transform the contact center into something that delivers a human experience.
The team is seeking an Applied Scientist to join this small but fast-growing group. The role provides an opportunity to have a massive impact across multiple products, do industry-leading work, disrupt the contact center industry, and see the results of your efforts directly in front of end users.
Responsibilities:
Build and test models that can perform various NLP tasks like classification, entity extraction, summarization etc. on Conversational data.
Work with the software development teams to assist in the productization of models.
Work with customers to tune the models that are deployed in production and make periodic modifications to the models.
Use various metrics to measure models' performance during development as well as in production.
Innovate on the creation of new tools and techniques that simplify definition, evaluation, and improvement of the models by non-AI experts
Keep up to date with the state-of-the-art developments in NLP research, open-source frameworks, and MLOps
Skills:
3+ years of experience in software
2-3 years of experience in natural language processing technologies, such as intent detection, summarization, and sentiment
Expertise with Python, which must include experience with ML/NLP tools and libraries such as scikit-learn, PyTorch, TensorFlow, spaCy, Hugging Face, etc.
Experience with the Google NLP suite (Dialogflow, CCAI) is a plus.
Experience with MLOps techniques a plus
Excellent written and verbal communication skills, including executive level communications
Experience in Contact center industry a definite plus.
Bachelor's in computer science, machine learning, data science or AI
Learn more about our Employee Benefits offerings and other perks here.
#LI-EW1
Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer.
View our privacy policy https://www.five9.com/pt-pt/legal.
-
Our headquarters are located in the San Francisco Bay Area with global hubs in the United Kingdom, Germany, Philippines, Portugal, and Australia."
Senior Data Analyst,Cash App,"Remote in San Francisco, CA 94103",5.0,PostedPosted 8 days ago,NaN,"This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on…",https://www.indeed.com/rc/clk?jk=00af3167fc62d3db&fccid=23ddedaf27ad006f&vjs=3,"Company Description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. This is our mission, and it’s why working at Cash App means so much more than a job.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

Check out our locations, benefits, and more at cash.app/careers!

Job Description

We are looking for a Senior Data Analyst to join our new and growing analytics team within Cash App’s Data Science Organization. This team is dedicated to enabling data self-service for the teams that respond to both regulatory and external/internal business partner inquiries. This is a new horizontal analytics discipline at Cash App, and we expect it to expand to support the broader set of analytics questions as it grows. The team is in the boot up process and is beginning to establish partnerships across the Cash business including a variety of stakeholders from Product, Engineering, Counsel, and Operations. We are looking to bring on technically strong analysts with an interest in becoming subject matter experts (SMEs) across wide surfaces within Cash App.
This analytics team will need to design solutions that increase automation as we scale. This team will partner directly with others within the organization to establish best practices and develop more advanced technical skills to power this journey.
We are looking for analysts with broader skill sets that include the ability to quickly understand the business context of a wide variety of products at Cash App, and the ability to help design more scalable and repeatable solutions to complex problems. Please expect an interview process which assesses both technical skills and broader business acumen.

In this role, you will:
Act as a point of contact for confidential data requests from the teams that respond to regulators, partners, and litigations received for Cash App
Interface with in-house and outside counsel teams to understand and deliver repeatable data access within defined timelines
Focus on designing self service tools that eliminate the need for multiple Ad-Hoc requests related to the same subject matter
Take ownership of proactively documenting team’s knowledge to enable others to quickly solve the next challenge
Partner with the broader Data Science team to automate QA requirements for our self service tools (dabble in test driven design!)
Identify data and process improvement opportunities; propose solutions for the future and work cross functionally to implement those recommendations
Perform analyses on large data sets to provide insights and actionable recommendations that will help satisfy various legal, regulatory, and compliance requests
Work closely with Data Engineers and other cross-functional teams to build scalable data infrastructure to quickly satisfy a wide range of requests from our legal and compliance teams
Be a SME both technically and functionally, for Cash App data, identifying actionable insights that inform business processes and how we respond to regulatory requests
Maintain confidentiality regarding the work you do, and the nature of the requests

Qualifications
3+ years of experience as a Data Analyst with 2+ years of experience in a compliance, regulatory, or legal environment
Ability to communicate and partner with legal, business, and technical teams clearly, and translate complex information needs into specific action items
Experience gathering business requirements, creating ad-hoc reports, and designing scalable solutions to automate those ad-hoc reports
Experience querying, analyzing, and reporting large data-sets to answer complex business questions
Technical skills must include Advanced SQL, Data Visualization via tools like Tableau/Looker/Mode
Creative data visualizer
Able to create a report without use of Excel/GSheet
Effective time management skills with the ability to adjust to multiple demands, shifting priorities and rapid change
Strong ability to break down large tasks into smaller, achievable milestones
Strong ability to both communicate and negotiate expectations for your projects with stakeholders
Proven ability to work both individually and in a team environment and display a positive business presence and sound judgment with management and external personnel

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $138,200 - USD $169,000
Zone B: USD $128,500 - USD $157,100
Zone C: USD $121,700 - USD $148,700
Zone D: USD $110,600 - USD $135,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverage
Retirement Plans including company match
Employee Stock Purchase Program
Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
Paid parental and caregiving leave
Paid time off
Learning and Development resources
Paid Life insurance, AD&D. and disability benefits
Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution."
Data Scientist - 100% Remote,Paramount Pictures,Remote,NaN,EmployerActive 2 days ago,NaN,"2+ years of experience in a data analytics or data science role.
Working with data visualization team by delivering accurate and consistent data that.",https://www.indeed.com/company/Gloss-Genius/jobs/Data-Scientist-84e8267d70c711c4?fccid=a4d184ea891187ce&vjs=3,"Job Description:
Under the mentorship of the Executive Director of Data Analytics & Data Science, this role will be responsible for developing KPIs, designing experiments, and developing various advanced analytics solutions to inform decision-making ranging from greenlighting and marketing to distribution at Paramount Pictures.
The right person for the role is a data scientist who thoroughly enjoys defining and solving mathematical problems to address business questions. The ideal candidate is excited about delivering the best-in-class data-driven insights and data science tools in the movie industry.
More specifically, these responsibilities include, but are not limited to:
- Building key metrics to track marketing campaign and box office performance
- Automating and optimizing the routine update of these key metrics
- Working with non-technical stakeholders to design experiments or surveys to derive
audience or messaging insights
- Researching and developing statistical and machine learning models to support various business initiatives
- Presenting analytics or modeling results to technical and non-technical stakeholders
- Working with data engineers to obtain useful and quality data for data science projects
- Working with data visualization team by delivering accurate and consistent data that
meet their reporting need
Basic Qualifications:
- 2+ years of experience in a data analytics or data science role
- Graduate Degree in Data Science, Statistics, Business Analytics, Computer Science,
Engineering, Applied Mathematics, or other quantitative fields
- Advanced graduate coursework in Machine Learning and Statistics
- Highly experienced with SQL and Python (or R)
- Working knowledge of data visualization tools such as Tableau, Google Data Studio, or Amazon QuickSight
- Experience with cleansing and manipulating large datasets and conducting deep
statistical analysis
- Experience with fitting, evaluating, and interpreting statistical and machine learning
models independently in a business setting
- Strong verbal and written communications skills both to technical and non-technical
audiences
- Ability to prioritize and meet timelines in a dynamic environment
- Great attention to detail
Preferred Qualifications:
-Working knowledge of Snowflake, AWS cloud services, and Google Cloud Platform APIs
- Experience with cloud machine-learning tools
- Experience with analyzing and presenting survey data
- Comfortable reading research papers and applying most cutting-edge models to
projects
Founded in 1912, Paramount Pictures works with the entertainment industry’s biggest filmmakers and brightest stars to produce and distribute entertainment around the world. The iconic Paramount logo has opened some of the most successful and beloved films in cinematic history, including timeless classics such as Sunset Boulevard, The Godfather, Forrest Gump and Ferris Bueller’s Day Off; and blockbuster franchises such as Star Trek, Transformers, and Mission: Impossible. Recent innovative break-out films such as A Quiet Place and Rocketman have further elevated Paramount’s film legacy. On the small screen, Paramount Television Studios’ Defending Jacob, 13 Reasons Why, The Haunting of Bly Manor, The Alienist: Angel of Darkness, Made for Love and Tom Clancy’s Jack Ryan have also been thrilling audiences. With a beautiful 65-acre lot in the heart of Hollywood, a worldwide network of offices and a culture of engagement, Paramount’s passionate employees ensure the studio continues to deliver creativity and innovation to a dynamic industry. Paramount is a subsidiary of ViacomCBS, which reaches 700 million global subscribers through MTV, Nickelodeon, Comedy Central, BET and other media networks.
Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access. https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500. Only messages left for this purpose will be returned.
Paramount believes in creating environments that allow our primary focus to remain on providing entertainment, education and information to our millions of viewers around the world. As part of this commitment to health and safety, Paramount requires COVID-19 vaccines for current U.S. employees, including all newly hired employees, subject to applicable law. Union employees are subject to the agreement reached between the Company and the applicable Union.
Job Type: Full-time
Benefits:
401(k)
401(k) matching
Dental insurance
Employee assistance program
Employee discount
Flexible schedule
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Professional development assistance
Referral program
Relocation assistance
Retirement plan
Tuition reimbursement
Vision insurance
Schedule:
8 hour shift
Supplemental pay types:
Bonus pay
Signing bonus
Experience:
Data Science: 2 years (Required)
Work Location: Remote"
"Data Scientist, Product Analytics",NEAR,"Remote in San Francisco, CA",NaN,PostedPosted 30+ days ago,NaN,"Focus on deep insights to understand the needs of various segments of users and help identify new product opportunities.
Fluency in Python for Data Analytics;",https://www.indeed.com/rc/clk?jk=582b99443a3eeeda&fccid=a089a346aa023259&vjs=3,"About Pagoda
Pagoda is the first-ever Web3 Startup Platform where developers and entrepreneurs can build, launch, and operate new blockchain-based products and services. As a primary builder of the NEAR Protocol, Pagoda delivers capacity, velocity, simplicity, and affordability needed to power tomorrow's Web3 startups.
We are looking for an innovative, empathetic, and productive person who is excited about building the next generation of crypto startups, feels comfortable challenging opinions, and most importantly who shares with us the same desire to make the web free again.
We encourage people of all backgrounds to apply. Pagoda is committed to creating an inclusive culture, and we celebrate diversity of all kinds.
What You'll Get For Joining:
Unlimited Annual Leave / PTO
$2,000 Yearly Continued Education Reimbursement
$2,000 Home Office Setup Reimbursement
Yearly Company Retreats (2022 in Lisbon!)
Paid Holiday Week: the last week of the year
Paid Summer Wellness Week: the first week of July
Mental Health Support and access to licensed therapists through Spill, 100% paid by us
About The Role:
Pagoda is the first-ever Web3 Startup Platform where developers and entrepreneurs can build, launch, and operate new blockchain-based products and services. As a primary builder of the NEAR Protocol, Pagoda delivers the capacity, velocity, simplicity, and affordability needed to power tomorrow's Web3 startups.
The Pagoda Data Platform team is looking for Data Scientists to build product metrics and deep insights to user behavior for all product lines at the company.
What You'll Be Doing:
Collaborate with product managers and executives to understand user behavior across all our products, both on-chain (NEAR) and off-chain (web applications and CLI tools);
Build actionable product metrics using various business intelligence and data visualization tools;
Respond to new data requests, understanding the underlying information needed, and estimating the technical efforts to query the data, visualize and present the result;
Focus on deep insights to understand the needs of various segments of users and help identify new product opportunities.
Cultivate data-driven decision making culture at the company and constantly research and adopt the most recent best practices in product analytics;
Work in a global, remote-first environment, collaborating on a daily basis with teams in different regions and with different cultural and language backgrounds
Maintain fast time to insight for all stakeholders you interact with.
What We're Looking For:
Fluency in writing complex analytical SQL queries;
Fluency in any of BI tools such as Tableau, Looker, Data Studio and similar;
Fluency in Python for Data Analytics;
Experience in finding customer retention solutions and churn patterns through data analytics;
Strong data storytelling skills and ability to explain complex insights in a succinct way;
Strong communication and remote friendly working skills;
Bachelor's Degree in Computer Science or related fields is a must
We'd Love If You Have:
Experience working with DataBricks and BigQuery technologies;
Experience with custom events with Google Analytics;
Familiarity with crypto or blockchain technologies;
Experience working at a startup.
Here's What Our Interview Process Looks Like:
Depending on calendar availability, from the first stage to the final stage, we do our best to keep the entire process to under three weeks. Our interviews take place via Zoom and typically consists of the following stages:
Internal Recruiter Call (30 to 45 minutes)
Technical Interviews (4 x 60 minutes)
Pagoda Values Interview (30 to 45 minutes)
Please let us know if you require any special requirements for your interview and we'll do our best to accommodate.
Ideal Location For This Role
This is a fully remote role, so that your timezone matches or overlaps with our leadership for this role, you'll ideally be located in Americas or Europe.
Our Values at Pagoda
Innovate and deliver—so our customers can build. We deliver new solutions for real, often urgent, customer needs. Practical over hype. We uphold our standards of excellence while balancing velocity and pragmatism.
Focus precious time and energy on what matters. We are intentional about where we aim our resources. We channel our talents to focus on the critical missions in order to make an outsized impact.
Favor ownership, agency and action. Everyone is an owner. As individuals, we are responsible and accountable for our work. We empower builders to make decisions and innovate without the burden of unnecessary roadblocks or complexity.
Work as a team of empathetic humans. We practice mutual respect, open communication, humility and collaboration. We are kind and empathetic. We are welcoming towards diversity in all forms, including differences of perspective.
Never break trust. Integrity is rare—and valuable—in this space. Reputation is hard to build and easy to break."
Actuarial Data Scientist,Ledger Investing,"Remote in New York, NY",NaN,PostedPosted 4 days ago,NaN,"Contributions to open-source data science or machine learning projects.
Extensive knowledge of statistics, machine learning, and data science.",https://www.indeed.com/rc/clk?jk=d27589a9b2a1a480&fccid=8fd5587046ba0f73&vjs=3,"About Ledger Investing
Ledger Investing is a Y Combinator backed insure-tech startup that is transforming the way insurance risks are financed. Today, Ledger is an online marketplace connecting insurance risk to capital, focusing on securitization. Insurance risk originators are able to source capital more efficiently vs. the traditional value-chain. Capital providers gain access to an asset class that is highly diversified vs. most asset classes. Insurance securitization has quickly grown to be a $100 billion market but is limited in scope due to opacity and complexity. Ledger is expanding this market to $1 trillion by building a seamless data pipeline from the policyholder to the capital markets, enabling transparency, and bringing best-in-class analytics and real-time insights to the table. Our recent $75 million Series B round of investment funding has set us up for exponential growth. We are on our way to disrupting the industry by serving as an unparalleled, advantageous marketplace for virtually all types of insurance risks and capital, including traditional reinsurers, institutional investors, and accredited investors.
About the Team:
Data scientists at Ledger are critical to the success of the company. Our team specializes in modeling the behavior of casualty insurance risk portfolios. We analyze and predict the performance of every insurance program that seeks capital through us, and our analyses are critical in determining on what terms, if any, our investors are willing to offer capital for each program. In short, our math forms the ground truth that serves as the basis of negotiations for transactions with tens of millions of dollars at stake.
About the Position:
The questions we focus on have broad overlap with traditional topics within actuarial science: estimating loss development, forecasting portfolio performance, quantifying tail risk, and the like. Instead of using traditional actuarial methods, we rely instead on more modern statistical approaches, particularly from the fields of Bayesian statistics and machine learning. We are building a robust, scalable, and highly automated pipeline by which we can price ILS transactions at scale with minimal human intervention.
At the same time, we recognize the value in more traditional actuarial perspectives, as they are the fruit of decades of practical experience. We also still regularly deal with stakeholders who are immersed in a traditional perspective, and actuaries play a vital role in translating to and from the modern Bayesian approaches we use internally. The synthesis of actuarial domain knowledge with cutting-edge techniques is at the crux of what we do.
About You:
Successful candidates will have all of the following attributes:
Extensive knowledge of statistics, machine learning, and data science.
Several years of hands-on experience in pricing and/or reserving for property and/or casualty insurance lines.
Demonstrated ability to apply new statistical or modeling techniques to actuarial problems (e.g., loss development, rate segmentation, trend estimation, etc)
Familiarity with modern Bayesian modeling techniques.
Extensive experience with Python, R, Julia or other open-source languages with strong numerical computing ecosystems
Strong attention to detail and ability to reconcile conflicting or ambiguous sources of information.
Ability to work independently and communicate ideas effectively.
The following attributes will help candidates stand out from the crowd:
A track record of publications and/or presentations on actuarial modeling topics.
Contributions to open-source data science or machine learning projects.
An actuarial designation (ie., ACAS or FCAS).
MS or PhD in statistics or a related field preferred.
Familiarity with Bayesian modeling using Stan.
Familiarity with version control, especially Git/GitHub.
Your Benefits:
Competitive salary, bonus potential, and equity compensation
Work from anywhere. We're flexible. Our headquarters is in New York, but this position can be fully remote or hybrid.
Uncapped paid time off
Paid Holidays
401k
Medical, dental, and vision insurance - multiple plans to choose from
Company paid Life and AD&D insurance
ClassPass - We contribute to your monthly membership offering a large range of providers & services in Fitness and Wellness. Get a massage on us!
Up to $5,000 paid by Ledger towards your dream desk setup! Customize what works for you.

For US based positions:
Ledger Investing is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity and status as a transgender or transsexual individual), sexual orientation, marital status, age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, predisposing genetic characteristic, domestic violence victim status, arrest records, or any other characteristic protected under applicable federal, state or local law."
Predictive Modeling Analyst (Remote),Pratt & Whitney,"Remote in Grand Rapids, MI 49503",3.9,PostedPosted 30+ days ago,NaN,"Act as one of the subject matter experts on future state data trends and tools.
Enterprise solutions that house data include enterprise SAP systems, plant floor…",https://www.indeed.com/pagead/clk?mo=r&ad=-6NYlbfkN0AmeoOzMpFeQa4nQauBOkgcasiRGbz5T5YfctgmEyRyniWlrXmQgp90C9R_3Er909VLzVt_APqeb7TZeMfOimySPC68QLX_d0pLaIPoZuW6jvSngABqloAXYEETFmWklElrU2cZFY1ERP22CbsLGd9lEMYAKiiCCzrCXHSQCXwK-CkPgiU4D8-9CsbRSWiO3AflPKgeE0mti9xSLa89MkAaT1AKuJpmPX2A2YrRPkllAZtdolVDcf9xF6FH4Lj6nJGkkH3_bf3EvB27u1R1OorV9f7iOawAONv4C2I9z2PL_qqQuv5WMK71cezpFS7BVPM4W6q7Ei_2xYtl50q_EBoFXHPwJJ-ulre4eWRuXwnnSBbW_ws_0lN7U6zZBFLuXnBH3j3GPGZvr2n8jH7wXL99DTlQHe2myTqcGQho2wbF9nGZoHBt06eKpDQVpmZA-BV6muzCNaVjjtxK2_a3XUTMsbCOTH8Hwz3OSYVosiUm1u4TSycHTm0_bBbzs-ctA8-8e256K6K4Yi5zTQ38czjdY3fuYLcJozaQA8C2_FBhcKwdz9vA-rFJ_upNX0JCTvba9mwm6-molSQzxWEzyxou9cmRoCfK2juE5T0R4rb_k30Ck0EZar-IUMlLN2nu-SqQOSlg6iuPFCUGIorqp-NlL3-3COBjHqO7Q_MtkcdW7LWWUGwc5XyDqipZ6HpdBmqQVx9ImGzVP7iukLysxxDcOb96fusvtS3dpOoquWHViNkbhtKOz16s0ZyC4UdSVoXG0lQKsMX2ocpXEwSXOIWSYqSEq0P-1wmPPtLYQtRo6-adeK9b3cEnZdICx0_ZZAi1lh3BF_QS58iyf56M658PdTc-c9eJSxZLpdcoh50Jj384fTVsZ2RkZnak7yJSwmIERAcJ8BuhxADoRDsC6eDe&xkcb=SoCE-_M3WJmDWN33SJ0KbzkdCdPP&p=11&fvj=0&vjs=3,"Pratt & Whitney is working to once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious.
Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.
Innovation through diversity of thought. At Pratt & Whitney, we believe diversity of thought enables creativity, innovation, and a foundation for inclusion. By fostering an inclusive culture, we accept a shared accountability and responsibility to recognize, sponsor, coach, hire and promote talent equally. We welcome our employees to be their whole - best - selves at work because trust, respect and integrity, are a part of our DNA.
At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?
We have a rare opportunity for a Predictive Modeling Analyst to support our Digital Technology team growth!
The role will work closely with our Data Analytics, Operations Management, Core Manufacturing and Industrial engineering teams to research, prototype, architect, and deploy complex analytics to create high-impact business value. The role is expected to gain experience while collaborating with business partners to develop predictive analytic solutions that enable data driven strategic decision making in the Digital Manufacturing/Industry 4.0 workspace.
This role utilizes data science techniques to manipulate structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions especially related to machine maintenance, plant maintenance. Enterprise solutions that house data include enterprise SAP systems, plant floor machine data, myriad application and rogue shadow IT databases.
Key Responsibilities:
Solid knowledge of predictive analytics techniques and statistical diagnostics of models
Advance knowledge of predictive toolset; expert resource for tool development
Demonstrated ability to exchange ideas and convey complex information clearly and concisely
Has a value-driven perspective with regard to understanding of work context and impact
Understand data purpose, source and relationship to other data;
Extract, aggregate and organize data using a repository (physical database on virtual environment) and methodology that creates reporting and access ease and efficiency;
Use data through queries, programing and code development to report, trend and calculate statistics, performance, progress and health;
Manage data access and use scenarios with data owners, IT partners and third party consultants and sub contractors;
Create charts, graphs, dashboards and other data visualizations that make data intuitive for colleagues, partners and clients;
Collaborate with report and dashboard creators on data standards and compliance. Conduct quality control monitoring and reporting
Act as one of the subject matter experts on future state data trends and tools
Basic Qualifications:
Bachelor's degree (STEM field) or equivalent experience and 8+ years of prior relevant experience; OR an Advanced Degree and 5 years of prior relevant experience
3+ years of experience with developing predictive models in a business setting including the following: Data quality assessment including manipulation, data cleaning, model monitoring; coding with R or similar object-oriented language such as Python or VBA; and working with a team that collaborates building projects/models in code using GitHub
2+ years of experience with MS Excel, including the ability to work with formulas, calculations, charts, graphs
2+ years in a manufacturing operations company role working with operations data
Preferred Qualifications:
Master’s degree in Mathematics, Computer Science, Statistics, Data Science, or related field
Knowledge of manufacturing applications and environment including but not limited to SAP, Ignition, MES systems, Plant Maintenance solutions, managing master data in manufacturing environment
Customer-facing experience with communication of results or trouble-shooting
Solid technical aptitude, such as programming experience with other languages/platforms including: SQL, DataBricks, ML Flow, Azure Cloud tech, etc.
Enjoys and works effectively in a team environment
Ability to learn quickly and use computer software tools effectively
What is my role type?
In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment. This role is:
Remote: Employees who are working in Remote roles will work primarily offsite (from home).
Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.
Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class."
Trainee Data Scientist,CaritateTech,Remote,NaN,EmployerActive 10 days ago,NaN,"\*limited time best way to get you a job.
\*Enroll in this best online AND offline Courses .",https://www.indeed.com/company/CaritateTech/jobs/Trainee-Data-Scientist-fd77e3765035fbc5?fccid=fb4c9c1ae75c48f3&vjs=3,"Hi,
Jobseekers,
Hope you are doing well,
Greetings from Sandhya.
I am Sandhya, Technical Recruiter at Carita Tech. We have an immediate opening for the below position, If you are interested, please revert back to me.
My company is providing Free Training and Placements from below positions if you intterested please reply back to me.
*We are currently looking for the candidates to work under our payroll
*We are providing free training & placement for graduates and #experiencedcandidates
#Trainingand #placementon
#servicenow
#devops
#devopstraining
#devopsengineer
#qaautomation#SDET
#productmanager
#DataScience Training
Demo session: will start on This week.
*limited time best way to get you a job.
*Enroll in this best online AND offline Courses .
We offer: =
#Directmarketing
#Successfulplacement
#Training(if needed)/Training Duration: 4 weeks
#Supportin interview preparation
#ExcellentMarketing Team (Strong experienced marketing team members)
NOTE: =we do #marketingfor those who have prior work experience.
*Interested one kindly ping me for further details! at
*If you are interested, feel free to reach me on
(925)-350-6710.
#hiring#trainingandplacement#freetraining#placements#freshers#internships#freshgraduates#2022hiring#2022freshers#2023graduates#jobs#jobsearch#jobopportunities#career#recruiting#job#careers#jobopening#opt#cpt#h1b#h4ead#l2ead#gcead#uscitizens#usajobs#usajob#usa2021#usaitjobs#uscontractjobs#usjobseeker#usjob#opentowork#newopportunities#lookingforopportunities#greatopportunity#devops#servicenow#datasciencetraining#datascience#productmanagement#sdet#qaautomation#caritatech #2022hiring#2022h1b#usjobs#optjobs#CPTJobs#Placement#Support#Hiring#JobsforOPT#JobsforCPT#recruitment#recruiting#hr#recruiter#training#jobsearch#recruiters#humanresourcesjobs#humanresources#jobs#job#professionalservices#consulting#consultantslife#jobseekers#opt#optead#freshers#optjob#optead#trainingandplacement#gcead#lookingforjobchange#lookingforjob#usitrecruitment#usitjobs#usitstaffing#ustechnicalrecruitment#placements#trainingandplacement#optjobs#optead#newcareeropportunities#learningnewskills#experience#team#interview#work
Job Type: Full-time
Schedule:
8 hour shift
Monday to Friday
Work Location: Remote
Speak with the employer
+91 9253506710"
Data Scientist II,Children's Mercy KC,"Remote in Kansas City, MO 64108",3.8,PostedPosted 11 days ago,$39.22 an hour,"A Data Scientist II is responsible for discovering insights, identifying opportunities, modeling complex health issues, and communicating findings through the…",https://www.indeed.com/rc/clk?jk=60eddabd88d0e17a&fccid=1c7c12a449bf4504&vjs=3,"Thanks for your interest in Children's Mercy!:
Do you envision finding a meaningful role with an inclusive and compassionate team? At Children’s Mercy, we believe in making a difference in the lives of all children and shining a light of hope to the patients and families we serve. Our employees make the difference, which is why we have been recognized by U.S. News & World Report as a top pediatric hospital, for eleven consecutive years.

Children’s Mercy is in the heart of Kansas City – a metro abounding in cultural experiences, vibrant communities and thriving businesses. This is where our patients and families live, work and play. This is a community that has embraced our hospital and we strive to say thanks by giving back. As a leader in children’s health, we engage in meaningful programs and partnerships throughout the region so that we can improve the lives of children beyond the walls of our hospital.
Overview:
A Data Scientist II is responsible for discovering insights, identifying opportunities, modeling complex health issues, and communicating findings through the use of computational mathematics and statistics, data mining and advanced visualization techniques. This role is also proficient at integrating and preparing large, varied data sets and computing environments.

At Children’s Mercy, we are committed to ensuring that everyone feels welcomed within our walls. A successful candidate for this position will join us as we strive to create a workplace that reflects the community we serve, as well as our core values of kindness, curiosity, inclusion, team and integrity.

Additionally, it’s important to us that we remain transparent with all potential job candidates. Because we value the safety of the patients and families we serve, as well as the Children’s Mercy staff, we want to let you know that the seasonal influenza and COVID-19 vaccines are a condition of employment for all employees in our organization. New employees must be willing to be vaccinated if found non-immune to measles, mumps, rubella (MMR) and chicken pox (varicella) and/or without evidence of tetanus, diphtheria, acellular pertussis (Tdap) vaccination since 2005. If you become a finalist for this position, and have any concerns about receiving these vaccines, medical and/or religious exemptions can be further discussed with Human Resources.
Responsibilities:
Conducts end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
Partner with department stakeholders to provide thought leadership, identify and document project analytics requirements and expected outcomes.
Communicate results and measure improvement of analytics projects.
Discovers emerging analytic techniques and applies them to the business.
Promotes standards and best practices for advanced data analysis and analytics through the organization
Qualifications:
Master's Degree preferred and 1-2 years experience in healthcare data and/or data science or
Bachelor's Degree In Data Science, Mathematics, Statistics, Bioinformatics, computer science or related field preferred and 3-5 years experience in healthcare data and/or data science
Starting Pay:
Our pay ranges are market competitive. The pay range for this job begins at $39.22/hr, but your offer will be determined based on your education and experience.

Remote Work/Work from Home:
This position is entirely remote or work-from-home. The person hired must live in the Kansas City metro area and may attend on-site meetings, as scheduled.

EEO Employer/Disabled/Vet:
Children’s Mercy hires individuals based on their job skills, expertise and ability to maintain professional relationships with fellow employees, patients, parents and visitors. A personal interview, formal education and training, previous work experience, references and a criminal background investigation all are factors used to select the best candidates. The hospital does not discriminate against prospective or current employees based on the race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry or veteran status. A drug screen will be performed upon hire. Children’s Mercy is smoke and tobacco free.

Our commitment to Diversity & Inclusion:
CM is committed to creating a diverse and inclusive workforce. Our patients and families come from all walks of life, and so do we. We know that our greatest strengths come from the people who make up our team so we hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our hospital stronger and our patient care more compassionate.
If you share our values and our enthusiasm for service, you will find a home at CM. In recruiting for our team, we welcome the unique contributions that you can bring, including education, ideas, culture, ethnicity, race, sex, sexual orientation, gender identity and expression, national origin, age, languages spoken, veteran status, color, religion, disability and beliefs."
Data Scientist - Shuzhao Li Lab,The Jackson Laboratory,"Remote in Farmington, CT 06032",3.3,PostedPosted 9 days ago,NaN,"Participate in data management support to ensure accurate, timely and complete bulk export of data (categorical, continuous and time series data, images and…",https://www.indeed.com/rc/clk?jk=3a1b5e535fcfd770&fccid=3be85788e3fd3d2c&vjs=3,"Data Scientist - Python, Metabolomics
A Data Scientist position is available in Shuzhao Li Lab at the Jackson Laboratory for Genomic Medicine (JAX-GM), Farmington, Connecticut, USA. The position can be either onsite or remote. JAX-GM is an excellent research environment for omics and data science, with state-of-art facility and dedicated research IT supports.
The Shuzhao Li lab developed and contributed to influential software tools in metabolomics. The lab currently operates three Thermo Orbitrap mass spectrometers (1 IDX, 2 QE HFX), developing innovative applications to immunology and genomic medicine. Additional instruments are available in the JAX core facility (QE, Fusion, QQQ, timsTOF etc).
The Data Scientist is responsible for managing and maintaining large amounts of data. The Data Scientist plays a critical role in data curation, migration, auditing and storage that is essential to the success of the JAX. They will be expected to participate in efforts to disseminate the data, in collaboration with other key stakeholders.
The incumbent is expected to make important contributions to metabolomics and genomic medicine. This will include a major role in the continued development of mummichog and asari, metabolomics databases, cloud computing tools and interactive data visualization portals.
Key Responsibilities
Statistical analysis of domain-specific data and generation of reports and summaries
Data visualization using scripting languages and Javascript-based web tools
Data wrangling to ensure compliances, interoperability and provenance
Quality control of both low- and high-dimensional datasets, design and implement quality control and quality assurance procedures to confirm the accuracy, fidelity and completeness; troubleshoot data exports and data uploads; track data exports and follow through; implement bulk data corrections
Communication with team and collaborators, participation in study design, data analytical plan, interpretation of the results, presentations and publications
Participate in data management support to ensure accurate, timely and complete bulk export of data (categorical, continuous and time series data, images and metadata) from the Laboratory Information Management System (LIMS) to another data center/database
Participation in software tool maintenance, development and deployment.
Proactive identification of opportunities to improve practices, streamline analysis, maximize data value, and optimize use of the LIMS.
Qualifications
B.S. in Computer Science or computational science-related field (i.e. bioinformatics, physics or mathematics)
Solid understanding of core statistical methods and machine learning tools
Experience in common data visualization methods
Experiences in databases
Programming proficiency in at least either R or Python
Experience in working with high performance clusters and/or cloud computing environments
Experience in version control tools
Good communication skills and ability of working with multidisciplinary teams
#LI-Remote
About JAX:
The Jackson Laboratory (JAX) is an independent, nonprofit biomedical research institution with more than 2,400 employees. Headquartered in Bar Harbor, Maine, it has a National Cancer Institute-designated Cancer Center in Augusta, Maine, a genomic medicine institute in Farmington, Connecticut, and facilities in Ellsworth, Maine, Sacramento, California, and Shanghai, China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
JAX employees work in a collaborative, value-driven, and team-based environment where the focus is on advancing science and improving patients’ lives. Researchers apply genetics to increase the understanding of human disease and advance treatments and cures for cancer, neurological and immune disorders, diabetes, aging, and heart disease. JAX was voted among the top 15 “Best Places to Work in Academia” in the United States in a poll conducted by The Scientist magazine!
EEO Statement:
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws."
Data Scientist,PocketPills,"Remote in San Francisco, CA 94103",NaN,PostedPosted 30+ days ago,NaN,"Proven ability to tailor data-driven insights to business problems in a cross-functional team.
As a marketing data scientist, you'll be playing a key role in…",https://www.indeed.com/rc/clk?jk=ae6e092dd67f3d70&fccid=e80d14adf7726d62&vjs=3,"Company Description
PocketPills is a tech-driven pharmacy that is redefining pharmacy experience for consumers in Canada. Consumers can place an order on the App from the convenience of their home. We presort medications into “PocketPacks” and deliver them to the doorstep, for free. Our innovative, online pharmacy platform is aimed at significantly reducing cost, improving medication adherence and providing easy access to pharmacists. With direct access to patients’ medication history and using other healthcare information, we will predict medication adherence, medication efficacy, disease progression and incidence of new diseases by leveraging machine learning. Our addressable market is the retail pharmacy industry in Canada (~$25B annual revenues).
Job Description
The company is hiring a data scientist to drive user acquisition and retention strategies as well as impact product development with insights on user behavior and user expectations.
As a marketing data scientist, you'll be playing a key role in generating data-driven intelligence about our marketing activity’s impact on our users, optimize marketing targeting, as well as understand user lifecycle as we look to further enhance growth and deepen engagement.
Here are some of the things you would work on
Build data pipeline to create summary tables in databricks and dashboards in tableau/ redash that enhance understanding of user lifecycle and marketing performance
Take end to end ownership of building data pipelines, understanding features that impact performance, leveraging those to run marketing campaigns to test hypotheses.
Collaborate with platform engineers and product managers for data instrumentation and test various sign up flows and acquisition strategies.
Identify new opportunities for personalization to optimize marketing and increase user acquisition rates.
Keep it real with your actions, be brave with your decisions, do the right thing for users, and shape the future of the company with excitement.
Qualifications:
Quantitative background in computer science, statistics, math, or related disciplines.
Advanced knowledge of experimentation and statistical methods.
Familiarity with experimental design in the marketing world is a plus, for example, paid search, paid social, email.
5+ years of hands-on experience analyzing data at scale from inception to business impact.
Proven ability to tailor data-driven insights to business problems in a cross-functional team.
Strong programming skills (Java/Python/R + SQL)
Self-driven with the ability to work in a self-guided manner. Motivated to drive tasks to completion and take ownership of projects.
Superb communication and organization skills.
Genuinely excited about working in a startup, learning and solving problems without getting constrained by current knowledge or experience."
Data Scientist,Stellantis,Remote,3.3,PostedPosted 30+ days ago,NaN,"Provide technical leadership to data scientists with a wide range of backgrounds through code reviews.
Evangelize our data science practice within the company…",https://www.indeed.com/rc/clk?jk=9b18d4c68aba30e9&fccid=f6172562f9aeed68&vjs=3,"Job ID: 1049674
Career Area: Software & Electric and Electronics
Job Category: Software & Electric and Electronics
Location: Remote
, US
Date Posted: September 16, 2022
Brand: FCA Group

Job Overview
Qualifications
Your Mission

The Global Analytics & Data Products Team is looking for a Data Scientist. As a key member of the Data Science Team, your mission is to put science into decision making.

Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities:
Partner with cross-functional teams to prioritize domain use cases for customer engagement and monetization
Develop novel research to deduce and draw conclusions from behavioral data to directly influence development
Design, analyze and graduate experiments within your domain assignments
Provide technical leadership to data scientists with a wide range of backgrounds through code reviews
Democratize and socialize learning by centralizing learning in a internal repository and external blog
Understand stakeholder needs and educate partners on the formulation of research questions and methodologies
Evangelize our data science practice within the company to increase research utilization and recruit new talent
Top Performers will be able to demonstrate
Successful influencing of non-technical peers and leadership to deliver substantive change
Measurable consumer engagement impact through analysis, statistical models or products built
Measurable revenue impact through analysis, statistical models or products built
Measurable consumer experience impact through analysis, statistical models or products built
Qualitative and quantitative deductions from experimentation that lead to product optimization

Your Platform,

A truly global company, we have headquarters in Amsterdam, Paris, Turin, and Auburn Hills. We also have technology hubs on the east and west coast of the United States, in South America and India. These locations are the nerve center of our company, where the best ideas combine with unrivalled rigor to create the biggest and best automotive experiences in the world.

Our World

Great mobility solutions start with great people! This is an exciting time to join us!

Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions. Our Company’s strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate.

In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers, as they embrace electrification, connectivity, autonomous driving and shared ownership. Founded by visionaries who infused them with passion and competitive spirit, these brands have made automotive history for more than a century and continue to speak to customers and inspire our employees today.

The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate, and our people live and work.

EOE/Disability/Veteran

Our benefits reflects the FCA commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.

As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired."
Machine Learning Engineer,XGen Ai,Remote,NaN,EmployerActive 2 days ago,"$80,000 - $120,000 a year","Ensuring that machine learning infrastructure is highly available, reliable, and meets the service-level agreements (SLAs).
Experience with the Julia language.",https://www.indeed.com/company/XGen/jobs/Machine-Learning-Engineer-79d2448627b06f87?fccid=ece1b0f8d0e3a74c&vjs=3,"Who are we?
XGen Ai was founded in 2019 and provides the leading eCommerce ML technology for enterprise brands and automates data science processes for Brand managers. We service house-named brands along with some of the top luxury fashion brands in the world. Our diverse teams are located between Vancouver, Canada, Milan, Italy, NYC, and Tampa, Florida along with remote/hybrid teams across the USA and Europe.
Why join us?
As a team, we have built a company culture around innovation and breaking boundaries. We encourage new ideas, thinking outside the box, and ceaseless learning to expand yourself as an individual as well as a team member. Our culture encourages, supports, and celebrates diversity and looks to expand and build it constantly. Those that go above and beyond in their given role are always recognized and rewarded. In addition to base pay, we also offer quarterly bonuses based on production targets and stock option grants.
What you'll be doing as our Machine Learning Engineer
Involved in the machine learning operation creation and maintenance
Act as the connection point between ML R&D and the Production Environment by being part of the design planning for any and all ML services ensuring that the service functions in the way set by the ML team while meeting the standards and principles of any service operating in Production.
Acting as a source point to be alerted for ML issues in production (such as incorrect model outputs, static recommendations, and going beyond set error thresholds) and then coordinating with the appropriate team members to resolve those issues and put in/fix processes to prevent those issues from occurring again.
Understand the goals and roadmaps of the ML Engineers to proactively ensure that any necessary components are in place to accomplish those targets.
Help in the development of ML Ops related new features in coordination with the AI team: for instance: ML analytics, hyperparameter tuning, etc.
Ensuring that machine learning infrastructure is highly available, reliable, and meets the service-level agreements (SLAs).
Setting up a system to proactively monitor compute, memory, network latency, etc.
Must haves
Citizenship or work visas for the USA or Canada
Strong experience in building production-grade applications with Python
2+ years working with machine learning frameworks (TensorFlow, PyTorch, Keras)
2+ years working with data science libraries (NumPy, SciPy, Pandas, SciKit-Learn)
1+ years experience building and deploying Python applications in the cloud (AWS preferred)
1+ years experience with containerization (Docker preferred)
Proficient in tuning and deploying models and capable of adapting open source models
Bonus points
Experience with AWS SageMaker
Experience working with various AWS services, such as Lambda, S3, DynamoDB, Athena, ApiGateway
Experience with the Julia language
Experience with ElasticSearch
If you are qualified for this role, please complete the following coding assessment:
https://coderbyte.com/sl-candidate?promo=xgen-hys2q: aws-assessment--lskmjxvgrf
Job Type: Full-time Employment role
Salary: $80,000 - $120,000 per year
Benefits:
Dental insurance
Health insurance
Paid time off
Vision insurance
Compensation package:
Bonus pay
Schedule:
8 hour shift
Monday to Friday
Work Location: Remote in the USA or Canada
Job Type: Full-time
Pay: $80,000.00 - $120,000.00 per year
Benefits:
Dental insurance
Health insurance
Paid time off
Vision insurance
Schedule:
8 hour shift
Monday to Friday
Work Location: Remote"
Data Scientist II,Tek Ninjas,"Remote in Seattle, WA 98101",NaN,PostedPosted 11 days ago,NaN,"Ability to process large sets of data, and create actionable insights with Power BI and Excel.
Enhancing data collection procedures to include information that…",https://www.indeed.com/rc/clk?jk=e8ccf157fe743e60&fccid=352fb5939d715eeb&vjs=3,"Data Scientist II | One-year contract
Help us discover the information hidden in vast amounts of data, to enable smarter decisions that will deliver even better products. As Data Scientist II, your primary focus will be applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.
Responsibilities:
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending company's data with third-party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
Requirements:
(At least 3 years of relevant experience required.)
Ability to process large sets of data, and create actionable insights with Power BI and Excel
SQL query building experience
Strong communication skills
Flexibility and ability to work in a rapidly changing environment
Location: Fully remote (preference for candidates who live within PST)
Required Skills:
Basic Qualification:
Additional Skills:
Background Check: Yes
Notes:
Selling points for candidate:
Project Verification Info:
Candidate must be your W2 Employee: No
Exclusive to Apex: No
Face to face interview required: No
Candidate must be local: No
Candidate must be authorized to work without sponsorship: No
Interview times set:: No
Type of project: Other Project Type
Master Job Title: Misc: Non-Technical
Branch Code: Seattle
Job Type: Contract"
"Data Scientist, Product Analytics",Pod Foods,"Remote in Chicago, IL",NaN,PostedPosted 30+ days ago,NaN,"As the Data Scientist - Product Analytics, you will be responsible for achieving a deep understanding of the needs and behavior of our customers and how they…",https://www.indeed.com/rc/clk?jk=80e728c2cdbc72c9&fccid=50f851787e0eb57d&vjs=3,"Data Scientist, Product Analytics
Data Scientist, Product Analytics
Pod Foods is a full service wholesale marketplace disrupting the grocery supply chain so that brands can get to the shelf more effectively, efficiently, and affordably. We are a 100% remote team with people in San Francisco, Chicago, New York, Los Angeles, Texas and more. Our vision is to create a food distribution network driven by data and technology so that grocery stores will better meet consumers' preferences, replacing mass-market inventory with products consumers want.
You must have a motivated, positive, self-starter and ""can-do"" attitude. We work in a highly energetic environment (despite being remote!) and staying apace will be key not only for your own success but the success of the company.
You will be responsible for:
As the Data Scientist - Product Analytics, you will be responsible for achieving a deep understanding of the needs and behavior of our customers and how they interact with Pod Foods by diving deep into the various metrics & data available across the company. You will generate insights, run experiments, and create recommendations for the product & business and be a core influence in empowering the organization to make data-informed decisions that will aid in achieving the goals and targets of the company. On an ongoing basis, you will work closely with the product and data team to measure and evaluate the success of every feature and continuously experiment with developing new products and identifying best practices.
Key tasks:
Work alongside the product teams to analyze feature performance pre and post-launch.
Lead and create a process for the team's goal-setting, tracking and reporting, as well as be responsible for the communication of insights and performance to internal and external stakeholders.
Analyze data, create hypotheses, perform diverse statistical experiments including A/B testing, cohort analysis, and funnel analysis, etc to develop insights into product and company performance, identify key areas of improvement and track customer behavior.
Optimize growth funnels through data analysis and user research
Collaborate with engineering, sales and product teams on feature development, QA and market testing to balance resources and achieve targets.
Build product analytics pipelines for existing and new products and features, visualize them, and report to stakeholders on a regular basis
Initiate ad-hoc product analysis to support strategic corporate decision-making.
Qualifications
Proven experience in using data to drive product development and decision-making, across product and business teams
Experience with tech platforms, marketplace growth, and knowledge of the grocery/CPG or B2B industries a plus
Strong data and analytics background, able to create and execute features and workflows based on data
Strong fluency in SQL and Python and understanding of data infrastructure
Ability to translate data and experience in creating dashboards using tools such as Snowflake, Metabase, Amplitude, Google Analytics, Google Tag Manager etc.
Strong and empathetic communicator to all levels of the company, including technical and non-technical stakeholders.
Self-starter, open-minded and willing to take risks and handle ambiguity
Being a fast-learner, eager to learn, ship and adapt to new challenges
Empathetic and effective team player with ability to achieve cross-functional team collaboration and management"
Product Data Scientist,Citizen,"Remote in New York, NY",NaN,PostedPosted 30+ days ago,NaN,"Data scientists embed as thought partners within product verticals and own reporting, experimentation and longer-form analyses that generate insights and guide…",https://www.indeed.com/rc/clk?jk=22adb7dfa9ab2049&fccid=caa54e7c6c4efc29&vjs=3,"About Citizen
Citizen is the No. 1 public safety app in the U.S., with a mission to make the world a safer place. Citizen provides 911 alerts and user-generated content so people can use their phones to keep themselves, and the people and places they love, safe. Citizen has notified people to evacuate burning buildings, deterred school buses from nearby terrorist attacks, and led to the rescue of kidnapped children and missing people. We act fast, break news, and give people the immediate information they need to stay safe. And we're just getting started.
Our subscription product—Citizen Premium—is a first-of-its-kind personal safety subscription that allows users to reach a digital safety agent 24/7. Subscribers have used Citizen Premium to de-escalate tense domestic situations, guide emergency response to remote hiking locations, and travel safely on late-night walks and ride shares.
Already relied on by millions of people every day, Citizen is continually expanding to keep more users safe and informed. We're looking for hardworking, mission-driven individuals to help bring Citizen to hundreds of cities nationwide.
Citizen is backed by Sequoia Capital, 8VC, Founders Fund, Goodwater Capital, and Greycroft and has raised $100M+ in VC funding.

Role Description
Our data team supports all parts of the business and are generally aligned around the key pillars of growth and revenue. The growth team focuses on scaling Citizen through expanding coverage and smart notification distribution, while the revenue team focuses on driving paid acquisition through improved premium feature value, as well as exploring creative new monetization streams.
Data scientists embed as thought partners within product verticals and own reporting, experimentation and longer-form analyses that generate insights and guide product and company strategy.
We are technology agnostic and results-oriented. Individuals use whatever tool (SQL, Python, Tableau, even Google Sheets) and methodology (exploratory data analysis, machine learning) they're most comfortable with to conduct analyses.
Data scientists own the database tables and reporting assets within their product vertical and contribute to shared data team infrastructure. Our data tech stack primarily consists of DBT, Google BigQuery, Google Colab/Jupyter Notebooks, Tableau.
Skills
Requirements
Proficiency in SQL
Familiarity with a non-SQL scripting language, eg. Python or R
Ability to conduct hypothesis-driven analyses and use data to answer open-ended questions
Articulate communication and story-telling skills
Ability to organize and prioritize work, manage stakeholders, and develop and articulate a point of view
Real-world experience with experimentation and statistical analyses
Preferred
Professional experience in data science or analytics strongly preferred
Experience with consumer products and ideally, subscription revenue models
Experience with model development, specifically practical model training and validation methods
Experience with Tableau

Citizen offers a competitive benefits package including medical, dental, vision, flexible spending accounts, paid time off, company holidays, stock option plan, commuter benefits, and various wellness perks.
Citizen is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class."
Data Scientist,GFT Technologies SE,"Remote in New York, NY 10016",NaN,PostedPosted 24 days ago,NaN,"Identify and utilize available data outside the organization as appropriate.
Partner with the Technology, Product and other teams to determine data collection…",https://www.indeed.com/rc/clk?jk=b65f7c58b708bfb0&fccid=9c7e8e5419364b6c&vjs=3,"Data Scientist - CONTRACT - 109722
Oct 26, 2022
New York
GFT Technologies SE
Data Scientist - CONTRACT
GFT Group New York, New York, United States
Remote Position to work from EST/CT timezones
The new GFT Data Scientist will be responsible for:
Required Skills/Experience
Partner with the Technology, Product and other teams to determine data collection strategies and appropriate data models
Apply statistical modeling to structured data to determine relationships
Develop strategy to leverage unstructured data and incorporate into statistical modeling
Identify and utilize available data outside the organization as appropriate
Recommend and oversee implementation of statistical models to drive efficiency and effectiveness
Conduct research in order to develop prototypes and proof of concepts
Nice to Have - Domain Knowledge of:
At least 2+ years of experience in a similar role
Experience with DATAIKU is highly desirable
Strong experience with Alteryx, SPSS, Databricks, Knimewill, SAS
Strong statistical skills
Experience with Random Forest; Decision Trees as well as logistic, linear and multivariate regression
Experience with Data analysis, Data visualization
Programming skills using Python
Data Mining Testing Models Experience – be able to align the most appropriate option to each project
Experience with SQL and Relational Data Warehousing Concepts
Understanding of A/B and Multivariate Test Design
Flexibility and interest in learning and adapting to new tools
Driven to solve technical challenges
Excellent organizational skills and attention to detail
Experience interfacing with different roles and levels within the organization and able to present data clearly to all team members
What we can do for you:
Competitive Base Salary Based on Experience plus metric based performance bonus
Competitive Benefits
Excellent Company Culture with Individual Development Plans to map out your career growth
Professional Development Training
An opportunity to work in a global environment
Open door policy with management
Opportunity to work in a global environment with diverse teams built with colleagues from around the world
Opportunity to work with technology industry leaders in the financial services environment
Opportunity to work for big name clients in capital markets and industry

Diversity & Inclusion Statement:
At GFT we are committed to cultivating, fostering, and preserving a culture of diversity, equity and inclusion. We want to attract, recruit, develop and retain the most talented employees, regardless of their background. We are guided by our values in everything we do, and recognize that being a diverse and inclusive employer helps us fulfil our social responsibility to make a difference.

Nearest Major Market: Manhattan
Nearest Secondary Market: New York City"
Data Scientist,Intone Networks,Remote,4.2,PostedPosted 30+ days ago,NaN,Strong preference for candidates with 1-2+ years of working experience driving business results • Demonstrated ability to frame business problems into machine…,https://www.indeed.com/rc/clk?jk=73c4297c79c11751&fccid=3ed0572c448b2368&vjs=3,"Visa:- Open REQUIRED: Key activities for the role will include: • Identify opportunities to build predictive/machine learning models and lead development of forward-looking metrics • Build/enhance machine learning algorithm to apply to customer complaints / chats to identify operational breakdown and remediate at earliest time possible • Lead a R&D efforts to leverage external data (social forums, etc.) to generate insights for operational/compliance risks • Provide rigorous analytics solutions to support critical business functions and support machine learning solutions prototyping • Manage the development and maintenance of analytical / statistical algorithm that is currently used to detect out-of-pattern trend • Communicate the technical algorithm to diverse partnersEdit Responsibilities Experience Qualifications: • Masters/PhD in a quantitative field (Computer Science, Statistics, Mathematics, Operation Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. Strong preference for candidates with 1-2+ years of working experience driving business results • Demonstrated ability to frame business problems into machine learning problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy • Creativity to go beyond the status-quo to construct and deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects • Deep understanding of machine learning/statistical algorithms such as time series analysis and outlier detection, neural networks/deep learning, boosting and reinforcement learning. Experience with data visualization a plus • Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (Hive, SQL, or the equivalent) • Prior experience working with Big Data tools and platforms (Hadoop, Spark, or the equivalent) • Experience in building NLP solutions are strongly preferred • Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously. • Team player with strong relationship building, management and influencing skills • Strong verbal and written communication skills"
Data Scientist,GiveDirectly,"Remote in New York, NY",4.5,PostedPosted 30+ days ago,"$130,000 a year","5+ years experience as a Data Scientist or related position applying statistical and/or machine learning (ML) techniques, with a deep understanding of the key…",https://www.indeed.com/rc/clk?jk=5b29daa5e4032564&fccid=9d68fe82291d9c11&vjs=3,"About GiveDirectly
GiveDirectly (GD) aims to reshape international giving – and millions of lives – by providing cash grants directly to the poorest people in the world. The Brookings Institution estimates that $100B of cash transfers would be required to eliminate the poverty gap; the aid sector currently spends $135B each year, much of it on evidence-free interventions. GiveDirectly wants to change that, establishing cash transfers as a benchmark for foreign aid – as the index fund is a benchmark for the financial industry – and in the process accelerating the end of extreme poverty.
GD has raised over $800M since launching in 2011, delivered cash to more than 1 million people, and launched offices in 11 countries. We've also supported 19 large-scale, experimental research projects that indicate strong recipient impact of our programs – including the largest universal basic income experiment in history. We use concrete evidence to inform the design of our programs: from research results published in leading journals, to in-depth qualitative work. As a result, GD has been celebrated as one of the most innovative non-profit companies by Fast Company, while the growing cash transfer movement (and GD's leading role within it) have been featured in the New York Times Magazine, This American Life, Foreign Affairs, and The Economist.
We're looking for exceptional talent to grow our collaborative, diverse team. Joining GiveDirectly provides the opportunity to work alongside individuals who come from 21 different countries and speak 69 different languages. We're actively working toward an equitable and inclusive environment for all team members, and seek candidates who will bring diverse perspectives and experiences to our organization. We recruit from organizations across all industries: our team has hailed from sectors including start-ups, government, consultancies, investment banks, and nonprofits.
Across our global offices, our culture is candid, analytical, non-hierarchical, and fast-paced. We value ability, adaptability, and willingness to learn. We offer competitive salary and benefits, as well as performance-based bonuses.
This role is fully remote but working hours must overlap with typical working hours (9am-5pm) in the East Africa timezone by at least 4 hours a few times per week.
About the Field Data team
As we scale to reach millions of people experiencing extreme poverty, we believe that data can transform cash delivery by:
Improving recipient experience
Increasing operational efficiency
Mitigating risk
Conveying our impact to donors
To realize this vision, we are building a best-in-class data team focused on cash delivery: operations, payments, and recipient safeguarding.
You will be the Field Data team's first Data Scientist, reporting to the Senior Data Manager and working closely with the Senior Data Architect. This is an opportunity to join at the inception of the team and guide foundational decisions regarding vision, priorities, and best practices. We are a small (but growing) group with a startup mentality, applying engineering best practices and a product development approach to data.
Our data infrastructure is built on AWS and Databricks, with dashboards and visualizations in Tableau. We primarily use SQL, Python, and R.
About this role
You will deliver insights and decision making tools that help shape cash delivery by determining which projects we take on, how we design them, and how we implement them.
Responsibilities include:
Statistical analysis and predictive modeling. Own process end-to-end: implement statistical methods and build, train, and deploy predictive models to solve problems in cash delivery utilizing code (e.g., Python, R). Current priorities:
Targeting. Implement and improve existing machine learning algorithms predicting poverty level from call-detail records (CDR) and geospatial data. This work enables us to remotely identify eligible recipients at scale, and has been highlighted in WIRED with findings published by our research partners in Nature.
Risk prediction. Develop new risk prediction models that help us design programs and target recipient outreach to keep recipients and communities safe.
Support data quality assurance. Work with the Senior Data Architect to design processes that ensure key metrics, models, and analysis are built on high quality data.
Communication. Collaborate with leaders throughout the organization to define data product requirements, educate them about solutions, and make recommendations.
This role has a high degree of autonomy and the ability to shape our process from the ground up by determining best practices and informing the data product roadmap.

Reports to: Senior Manager, Data
About you
You are an analytical problem solver who knows how to:
Frame a testable question from ambiguous requirements
Gather, clean, and manipulate the required data
Deliver answers that directly inform important decisions
You deliver results that impact real-world outcomes by:
Solving for user needs and constraints
Understanding when to build complex models and when simpler solutions are more appropriate
Communicating takeaways clearly
You are intellectually curious and humble. You think probabilistically and measure the uncertainty of your predictions.
You are a mid-level to Senior Data Scientist with the following qualifications.
Required qualifications:
5+ years experience working with data querying languages (e.g., SQL) and statistical modeling software (e.g., Python, R)
5+ years experience as a Data Scientist or related position applying statistical and/or machine learning (ML) techniques, with a deep understanding of the key parameters that affect their performance
Deep understanding of ML algorithms – ability to apply the appropriate methods, as well as benchmark and diagnose predictions to rapidly improve performance
Proficient in spark, dask, and/or other packages for distributed computing
Ability to travel and deploy to international, on premise locations for up to 1 month at a time
Preferred but not required qualifications:
Bachelor's degree in a STEM or other quantitative field
Helpful qualifications (we do not expect you to have all of these):
Advanced degree in a STEM or other quantitative field
Experience analyzing call-detail records, geospatial (e.g., ArcGIS or Python geospatial stack), and/or social network data
Experience developing an end-to-end machine learning pipeline with a scalable ML framework (TensorFlow, Torch, H2O, Spark MLib, scikit-learn)
Familiarity with cloud-based solutions (AWS, GCP etc.) for storing and processing large, terabyte-scale, datasets
Familiarity with poverty measurement methodologies – e.g., geographic poverty, poverty proxies, common administrative data sources, household survey data
Experience building dashboards and visualizations, preferably in Tableau
Experience mentoring and developing teams of Data Scientists

Level and Compensation
At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to ensure that staff's total compensation package (base compensation + bonus) falls within the 75th percentile of similar roles, at similar organizations. We also have a no negotiation policy to ensure we are paying staff equitably across roles.
Data Scientist:
The United States base salary for this role is $130,000 with a 10% bonus index.
The Kenya base salary for this role is $72,000 with a 10% bonus index.
For non-US and non-Kenya candidates, the salary for this role will be adjusted based on cost of living and the local labor market. A benchmark for your location will be shared during the interview process.
For exceptionally experienced candidates we are open to considering a Senior Data Scientist role for this posting. Both positions will start as independent contributors with the potential to manage if the team grows.

Read more about our ongoing diversity, equity, and inclusion efforts here and about our decision to move our central support teams to remote first here.

About the hiring process
Format: The hiring process follows the same general outline for all open roles:
First interview (30 mins)
Take home skills assignment (~2 hours)
Second interview (1 hour)*
Third interview (1 hour)*
Final interview (1 hour)
Reference checks (30 mins each)
For some roles, second & third interviews are combined into a panel interview. If there are adjustments or variations on this process, those changes will be communicated during the first interview.
Venue: We conduct interviews over Google Meet with camera on (unless communicated otherwise).
Accessibility: Closed captioning is available during all Google Meet interviews, and interviewers will also post interview questions in the chat box throughout the call. If you need assistance accessing either of these features, please let your interviewer know at the start of your interview!
We're committed to running an inclusive and accessible application process for all of our open roles. If there are questions or concerns you have about the accessibility of our hiring process, we warmly invite you to reach out to careers@givedirectly.org.

**GD is committed to observing all local, national and international laws that protect children, vulnerable adults, and basic human rights of all. GD is committed to a policy of ""zero tolerance for sexual exploitation, abuse, and harassment (SEAH)"" and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
#BI-Remote
#LI-REMOTE"
Data Scientist,NucleusTeq,Remote,NaN,PostedPosted 30+ days ago,NaN,"Produce trends and visualizations for better observability of platforms.
Choose appropriate algorithms for ML based processing of monitoring and observability…",https://www.indeed.com/rc/clk?jk=8c1e1ac097dc7048&fccid=497007f178e5c74c&vjs=3,"Data Science/ML requirement (3-5 yrs experience as a developer)
Duration: 15+ mos


Skills – Data Analytics, Machine Learning, AI, Python
Role
As a developer you will:
Write python to parse and deal with large datasets
Choose appropriate algorithms for ML based processing of monitoring and observability data
Produce trends and visualizations for better observability of platforms
Contribute to ML based alerting and predictive alerting for the platform
I realize this is somewhat vague, but I would include the likes of understanding Spark, Pandas, SQL, Hadoop/Hive in the mix as well for technical skills."
Senior Data Scientist,Microsoft,"Remote in Bellevue, WA",4.2,PostedPosted 30+ days ago,NaN,Our team plays a key role in providing data and analytics for Microsoft 365 Security customer solution area and covers areas inclusive of: Cyber Threat…,https://www.indeed.com/rc/clk?jk=68a36be0a399b108&fccid=734cb5a01ee60f80&vjs=3,"The Role:
Are you passionate about leveraging large volumes of data sets to draw deep insights designed to improve business strategies and customer experience with marketing programs to drive impact?

If yes, then IDEAs (Insights Data Engineering and Analytics) group is looking for a Senior Data Scientist to work with us with us to leverage the power of data, the skill of analysis, the science of learning to empower our stakeholders with insights on growth levers.

The Team:
Our team plays a key role in providing data and analytics for Microsoft 365 Security customer solution area and covers areas inclusive of: Cyber Threat Detection and Response, Advanced Threat Detection (threat hunting, intelligence, incident response), Vulnerability Detection and Response, Remediation, Data protection and governance and Device, Application management

The Location:
We are hiring in the following locations: Atlanta, Redmond, and fully remote within the U.S.

#IDEAS
#DPGJOBS
Responsibilities
Conduct data analyses deliver insights and learnings on marketing and engineering initiatives / programs (BI) for all customer segments based on usage.
Define, generate, and monitor KPI metrics for different Security solutions that leverage cloud solutions from Microsoft and 3P clouds
Automate reporting and provide exploration capability for reporting users
Partner with multiple marketing and engineering teams to explore data, design learning plan, and conduct analyses
Present insights and learnings to key stakeholders / executives, drive actions and impact
Provide thought leadership on modern workplace marketing based on insights / learning from analyses

Qualifications
Required Qualifications:
4+ years experience working on very large data sets of sparse high dimensional data and experience in pre-processing and analyzing such data using Sql or scripting languages to gain actionable insights
4+ years of experience in processing and building visualizations using reporting tools (such as Power BI)
1+ years experience working with any of the following: Cybersecurity, Cyber Threat Detection and Response, Advanced Threat Detection (threat hunting, intelligence, incident response), Vulnerability Detection and Response, Remediation, Data protection and governance and Device, Application management.
Strong skills in statistics/machine learning languages and packages such as Python, R, Azure ML
Passionate about cybersecurity, with a firm understanding of the problem space or passionate about applying your skillset to new domain areas such as cybersecurity
An independent self-starter who likes to take ownership and independently seeks out new challenges

Preferred Qualifications:
Excellent written and oral communication skills, particularly the ability to synthesize complex issues/scenarios into easy-to-understand concepts, solid experience in presenting findings to an executive audience
Attention to detail with self-discipline and a drive for results
Demonstrated ability to work in ambiguous situations and across organizational boundaries
Masters or PhD degree in statistics, data science, applied mathematics, computer science, econometrics or a related field, or equivalent alternative education, skills, and/or practical equivalent experience

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work."
Java / NLP Developer,Seneca Resources,Remote,4.1,PostedPosted 2 days ago,"$115,000 - $120,000 a year","Create custom NLP algorithms and annotators to evaluate medical record data.
Create custom tools to enable analysts to perform data research.",https://www.indeed.com/pagead/clk?mo=r&ad=-6NYlbfkN0AiRrwN5v2nTfGVepNxwyITavucPrGSxB-o-J0jBnubGyVDlQAEbPeEMYejNvZus6zF3BC95tn663swTDoRZNLPRS6-EtjoUntdH4hI3P1Zmo8V4eOoYRx6vqvoqkAXZuITl07EvAcTNoKyPrjYbvITzYj_nXWahZr4ht3A0dqSm5GfN9gghUM8qWIDC_2778YsDC11kGDjoYt0idDVRMSAuB4gv8czfPTx2zlFfhtIjsf2G7fgtwV_PN2IlHDsr7TLtPradrQ7zE0xyPVe87Bye8OOpYgDb3LTDMczZIftjL5AfLiYmqNJj75_CmOfQVkeUY8J_hzkhYQgkAue6cDMzGHZHSmJy94q4HgCcmm100LwRSoZcY6BhTV4o-yvoaJh9DXTR0ZjuPXAHyP90jKUUnS3JpHaMA2lPVbF-KKRsZlMc8Z-gxOI2yKHnCG233YWSsR3d52UgPVWyXIeha1vC7xKWo1dZil7HWmPZbq0tHx8BhuTTWgBR_TbQANNLPw=&xkcb=SoBo-_M3WJmDW8Q8Ix0PbzkdCdPP&p=11&fvj=1&vjs=3,"Role Description:
Design, build and configure applications to meet business process and application requirements.
Responsibilities:
Identify and analyze user requirements to generate stories and tasks for team backlog
Prioritize and execute tasks throughout the software development life cycle
Write well-designed, efficient code (Java, Python)
Review, test and debug team members’ code
Design database architectures as required
Create custom NLP algorithms and annotators to evaluate medical record data
Create custom tools to enable analysts to perform data research
Qualifications:
Minimum of 3 years experience with Java
Minimum of 1 years experience using Agile development methodologies.
Minimum of 2 years experience using the Spring framework.
Minimum of 3 years experience using Natural Language Processing tools.
Minimum of 1 years experience with MongoDB and PostgreSQL.
Experience with Machine Learning, Language Modeling and Python is a plus.
Experience with common development tools such as Maven and Jenkins
Skills & Experience:
Building reusable components and back-end libraries for future use
Optimizing components for maximum performance across a large, distributed system.
Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
Strong proficiency in Natural Language Processing
Having familiarity with RESTful APIs is a must
Knowledge of modern authorization mechanisms, such as JSON Web Token
Familiarity with modern front-end build pipelines and tools such as Jenkins and Docker
Experience with GIT
Being comfortable and proficient in a dynamic, agile team environment
Experience performing code review
Web Service technologies such as SOAP, WSDL, WS-Security, MTOM, SWA
Relational Databases such as DB2, Oracle, MySQL, SQL, JDBC
NoSQL databases such as MongoDB and HBase
Hadoop, Spark, HDFS, MapReduce, YARN, Scala, MapReduce, Pyspark
XML processing experience such as XSD, XPath, XSL, XSLT, etc.
IBM MQ Series
Bachelor's Degree, Masters Degree preferred
US Citizens or Green Card
Job Type: Full-time
Pay: $115,000.00 - $120,000.00 per year
Benefits:
Dental insurance
Health insurance
Vision insurance
Schedule:
8 hour shift
Monday to Friday
Experience:
Java: 3 years (Required)
Natural language processing: 3 years (Required)
Work Location: Remote"
"Product Data Scientist, Bitcoin Wallet",Block,"Remote in New York, NY",NaN,PostedPosted 17 days ago,NaN,"This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on…",https://www.indeed.com/rc/clk?jk=96814cf8b5e2cf97&fccid=6f1129ccfbf5c9e9&vjs=3,"Company Description

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

Job Description

We're building a bitcoin wallet for the next 100M bitcoin users - importantly for people around the world who likely haven't yet used bitcoin as a savings tool or for its payments capabilities yet. Our goal is economic empowerment - starting with bringing easy-to-use, reliable wallet that helps people around the world own and manage their bitcoin, rather than having to rely on several tools and services that don't work well together and are challenging to use for a wide global audience.
Our goal is to make the future of money intuitive, and safe while helping customers build a better financial future. We're assembling a team experienced in an extremely wide range of disciplines, including business, operations, design, software, hardware, security, and so many other aspects of product delivery.
We are hiring our first Product Data Scientist to help our product, marketing, engineering and customer support teams make data-driven decisions about what and how we build for our customers when helping them manage their money. This is a unique opportunity to not only be embedded with an early stage team where you'll have close proximity to strategy and building so you can produce action-oriented analyses, but you'll also influence our data infrastructure and tooling decisions.
Because you will work with bitcoin data across different sources (internal systems, blockchain, lightning network, etc.), an understanding of how these technologies function or demonstrated experience or interest working with this data is a big plus.
You will report to our Head of Business within Bitcoin Wallet. You can be based anywhere remotely in the United States, as well as in several countries around the world including the UK, Ireland, the Netherlands, Germany, among other countries.
Come build the future of money with us! Learn more through our newsletter here.
You Will:
Empower our team to use data to make business decisions as we build a global product from its earliest days- an opportunity to build data analysis into the infrastructure of a team from day 1
Develop both backwards-looking analysis on product performance, marketing effectiveness, monetization and pricing and other main product and business decisions, as well as forward-looking predictive models to help us better understand customers and their needs (e.g. cluster analysis that help us map customer segments back to product usage, retention models)
Empower the teams with data and help them to make decisions on improving product features and building a meaningful roadmap (e.g. funnel metrics, analysis of churn and CS data, etc), as well as influencing important decisions like pricing based on acquisition and retention insights
As a member of the Business team, you'll have the product and business context to be able to proactively spot trends and connect sometimes seemingly disconnected data sets to help the team develop and prove out hypotheses across the end to end lifecycle, forming cohort analysis on things like acquisition channels, etc.
Navigate external data sets such as publicly available blockchain data insights (eg bitcoin blockchain analysis) to help us understand things like our total addressable market (TAM) as well as SAM and SOM
Design and help run statistically-significant experiments across different cohorts of customers and ensure hygienic approach to things like causation vs correlation
Create models that help us to analyze risk and security threats as well as optimize key decisions on our approach to money movement (i.e. transaction modeling)
Support and guide in our early data infrastructure decisions with product and engineering - as we are a zero to one team, you will get to shape the data infrastructure decisions we make so we have scalable ways of working where data is easily accessible to the right people on our team, all while ensuring that data is secure and aligned with our privacy principles and commitment to customers and partners.

Qualifications

You Have:
Background in working in product-driven organizations and building and sharing data-driven insights to help make decisions with 8+ years of experience
Experience with cohort and funnel analyses, an understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilities
Experience telling stories and making relevant recommendations with data
You've set up and run A/B tests and other types of experimentation designs and can help ensure statistical significance in the right testing environment
With technical skills, you can automate complex processes and construct data pipelines
Experience with data visualization tools (e.g. Looker, PowerBI, Tableau etc.)
Work in collaborative team environments including Product, Marketing, Engineering, Design and Research
Thrives in earlier stage environments - you're a self-starter who gets excited about complex, sometimes vague, or longer-term problems and can be creative on how to solve those problems with data and insights
Familiarity or interest in learning blockchain analytics as we are building in the bitcoin space and external data sets will help you uncover richer trends and recommendations; ability to connect internal and external data sources
Technical skills: Python or R, Advanced SQL

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $184,100 - USD $225,000
Zone B: USD $174,900 - USD $213,700
Zone C: USD $165,700 - USD $202,500
Zone D: USD $156,400 - USD $191,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverage
Retirement Plans including company match
Employee Stock Purchase Program
Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
Paid parental and caregiving leave
Paid time off
Learning and Development resources
Paid Life insurance, AD&D. and disability benefits
Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution."
Data Scientist - remote,Kershner Trading,"Remote in Austin, TX 78758",3.5,PostedPosted 30+ days ago,NaN,"A passion for analyzing large data sets.
Work with a team of Data Scientists to analyze data and create intraday algorithmic trading strategies.",https://www.indeed.com/rc/clk?jk=b7eaab8d08f701b8&fccid=2ca957655873bec7&vjs=3,"Kershner Trading Group is a leading proprietary trading and technology firm, headquartered in Austin, Texas with offices in midtown Manhattan, NY and Chicago, IL. We provide capital and infrastructure to in-house quantitative and discretionary traders. We currently have an opening for a Data Scientist to work in our Austin, TX location or remotely.

Responsibilities:
Work with a team of Data Scientists to analyze data and create intraday algorithmic trading strategies
Provide valuable input to software engineers in order to enhance our back testing engine and data analysis tools for predictive model analysis
Collaborate with the team in order to enhance the trading software, reduce slippage and increase model efficiency
Requirements:
A passion for analyzing large data sets
Programming experience in Python
Entrepreneurial spirit
Preferred Qualifications

Experience in C++ and Linux
Knowledge of US stock market
Enthusiasm for looking at datasets in many different ways
Familiarity with algorithmic trading
What's in it for you?

Work with cutting edge, low latency technology
Grow and sharpen your skills on a daily basis
Join an environment that embraces team spirit"
Data Scientist,FocusKPI Inc.,"Remote in San Bruno, CA",NaN,PostedPosted 1 day ago,NaN,"3+ years of industry experience in data, analytics, data science role.
Integrate disparate data sources and leverage state-of-the-art analytics best practices…",https://www.indeed.com/rc/clk?jk=ea1719b5e2fc541f&fccid=29efea1158b643d0&vjs=3,"FocusKPI is seeking a Data Scientist to enable deep media insights through advanced analytics for our client, one of the largest retailers/e-commerce companies in the U.S..
Work Location: Remote in the U.S.
Duration: 6 months contract with potential for extension/conversion
Responsibilities:
Perform hands-on coding to retrieve and analyze large datasets using Python and SQL
Integrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholders
Manage and streamline data extraction process with great attention to details
Assess the potential usefulness, validity, and rigor of new data sources
Work with cross-functional team to ensure that the quality of the data are of the highest standard
Help with media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
Qualifications:
Master’s degree in statistics/mathematics, engineering, computer science, economics, or related field
3+ years of industry experience in data, analytics, data science role
Proficient coding skills (SQL/Python/R)
Deep knowledge on relational database capabilities and experience with big data technologies (Hive/Hadoop)
Proficient BI/BA data visualization tools (Tableau, PowerBI, ThoughtSpot, Looker, etc)
Experience with cloud technologies such as GCP, AWS, Azure
Experience in integrating, structuring, and analyzing large amounts of data from diverse sources
Strong project management skills and attend-to-detail documentation skills.
Strong written & verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story’ that provides insight into the business
Passion for working in a fast-paced agile environment.
A collaborative mindset and sense of curiosity
Preferred Qualifications:
PhD degree in statistics/mathematics, engineering, computer science, economics, or related field
Experience with predictive modeling algorithms and optimization techniques
Experience applying statistics to business problems
Experience with advertising, measurement, and/or digital marketing analytics
Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.

Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.
jXP0gIVH9s"