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Data Science Job Description

#1 Dell - Junior Analyst, Business Intelligence (Data Science)

  • Learn and apply database tools and statistical predictive models by analyzing large datasets with a variety of tools
  • Ask and answer questions in large datasets and have a strong desire to create strategies and solutions that challenge and expand the thinking of everyone around you
  • Deep dive into data to find answers to yet unknown questions and have a natural desire to go beneath the surface of a problem
  • Ask relevant questions and possess the skills to build algorithms necessary to find meaningful answers
  • Creatively visualize and effectively communicate data findings and insights in a variety of formats

#2 Facebook - Data Scientist

  • Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems.
  • Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products.
  • Work as a key member of the product team to solve problems and identify trends and opportunities.
  • Inform, influence, support, and execute our product decisions and product launches.
  • Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics.
  • Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviours, and long-term trends Identifying levers to help move key metrics.

Essential Requirements

  • Core statistical knowledge
    • JD: #1
  • Programming languages (R, Python, SAS)
    • JD: #1, #2
  • BI, Data Mining, and Machine Learning experience
    • JD: #1
  • Proficient in SQL
    • JD: #1, #2
  • Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.
    • JD: #2
  • Experience in Spark (Scala / pySpark)
    • JD: #3

Desirable Requirements

  • Self driven, able to work independently yet acts as a team player
  • Strong communication skills, willingness to learn and develop their ability to apply data science principles through a business lens
  • Ability to prioritize, re-prioritize, and handle multiple competing priorities simultaneously