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<!DOCTYPE html>
<html lang="" xml:lang="">
<head>
<title>UnicoRns are real</title>
<meta charset="utf-8" />
<meta name="author" content="Travis Gerke, ScD" />
<link href="libs/animate.css/animate.xaringan.css" rel="stylesheet" />
<link href="libs/panelset/panelset.css" rel="stylesheet" />
<script src="libs/panelset/panelset.js"></script>
<link href="libs/text-poster/text-poster.css" rel="stylesheet" />
<script src="libs/text-poster/text-poster.js"></script>
<script src="libs/text-poster/text-poster-init.js"></script>
<script src="libs/htmlwidgets/htmlwidgets.js"></script>
<script src="libs/d3/d3.min.js"></script>
<script src="libs/d3-lasso/d3-lasso.min.js"></script>
<link href="libs/ggiraphjs/styles.css" rel="stylesheet" />
<script src="libs/ggiraphjs/ggiraphjs.min.js"></script>
<script src="libs/girafe-binding/girafe.js"></script>
<link rel="stylesheet" href="moffitt-xaringan.css" type="text/css" />
</head>
<body>
<textarea id="source">
class: center middle hide-count hide-logo
background-image: url(figures/moffittlogo.png)
background-size: 22%
background-position: bottom 5% right 5%
<div class="talk-logo swivel-horizontal"></div>
<!--.talk-title[
.talk-title-main.moffitt-blue[UnicoRns are real]
]-->
.talk-meta[
.talk-author[Travis Gerke, ScD]
<!-- https://fontawesome.com/license -->
.talk-date[<img src="figures/twitter-brands.svg" alt="Twitter logo" width="24px"/> @travisgerke]
.talk-auth2[w/ Donna C. Evans] <!--Senior Compensation Consultant-->
]
---
class: center inverse strive-to-recruit
<div class="text-poster" style="width:90%;height:85%;padding:1em;">
<div class="text-poster__text" data-text="I strive to recruit the most talented data scientists and compensate them accordingly."></div>
</div>
.footnote.pull-right.moffitt-grey[— _Every good data science manager ever_]
<style type="text/css">
@import url('https://fonts.googleapis.com/css?family=Merriweather:300');
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font-family: 'Merriweather', serif;
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color: #82c878;
}
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background: #00589a;
}
</style>
---
### Parody?
.w-50.h-center[
]
---
class: inverse hide-count
background-image: url('figures/enemy.gif')
background-size: cover
# Truth?
---
### Is there another way?
.pull-left[
.center[
HR can't do a market salary benchmark analysis for a person that doesn't exist
]
]
--
.pull-right[
.v-center[
]
]
<!-- credit to vectorstock.com/22698768 -->
---
layout: true
class: job-posting animated fadeIn
### Data Scientist wanted! (1/2)
Seeking data scientists with hands on experience transforming unique data into amazing products. You will have access to an enormous amount of high-value business activity data. You will participate in the end-to-end processes of product development using .one[machine learning], from proof of concept to .two[deploying models in production]. Your work will directly impact the developer experience in .three[building applications], as well as the customer experience when interacting with them.
* Working closely with Software Engineers and Product/Technical Services Mangers to drive analysis and performance improvements
* .four[Developing and implementing cloud-based security solutions] providing data protection and governance, and improving customer experience
* Working with internal business teams to .five[integrate data and decision-making]
* Build intelligence into our services to make them run smarter with a responsible application of Machine Learning.
---
class: full
---
class: job-posting-one
---
class: job-posting-two
---
class: job-posting-three
---
class: job-posting-four
---
class: job-posting-five
---
layout: false
### Data Scientist wanted! (2/2)
.w-85.h-center[
]
---
### Data Scientist wanted! (2/2)
.w-85.h-center[
]
---
### Challenge: job descriptions that map to appropriate salaries
.pull-left[
> A common listing describes a unicorn...
> These types of job descriptions usually mean the company doesn’t know what they’re looking for, and they expect a data scientist to come and solve all their problems without any support.
.w-25.h-center[
]
]
--
.pull-right[
But unicoRns are real and should be compensated as such!
.w-50.h-center[
]
]
---
### The job description to offer pipeline
--
Hiring manager writes a job description
* States the primary purpose, expected deliverables
* Requirements for technical skills, prior experience, and/or education
--
HR classifies the role
* Hourly or salary
* Type of contributor: technician, professional, scientist
* Level of contributor: entry, intermediate, senior, principal
--
Role-specific salary benchmarking data are from purchased compensation surveys
* HR will aggregate across several such sources to derive a salary range
* The ultimate offer varies somewhat by company's compensation philosophy
---
.panelset[
.panel[.panel-name[Data Scientist I]
* Purpose: Summarize and analyze complex/large data to guide business insights
* Independently merge and tidy data from multiple source systems, then conduct appropriate summarization or statistical analyses according to business stakeholder needs
* Use data and visualizations to inform business solutions for organizational leaders
* Organize databases, analyses, and reports into user-accessable and reproducible repositories
* Preferred R stack experience: tidyverse including dbplyr, R markdown, Shiny, caret .moffitt-orange[[insert required basket of R needs here]]
* May require an advanced degree
* 0-2 years of related experience preferred
<i>Notes:</i>
* This support role reports to a manager and work is closely managed
* Projects most often contain limited complexity
]
.panel[.panel-name[II]
* Purpose: Summarize and analyze complex/large data to guide business insights
* Independently merge and tidy data from multiple source systems, then conduct appropriate summarization or statistical analyses according to business stakeholder needs
* Use data and visualizations to inform business solutions for organizational leaders
* Organize databases, analyses, and reports into user-accessable and reproducible repositories
* Preferred R stack experience: tidyverse including dbplyr, R markdown, Shiny, caret .moffitt-orange[[insert required basket of R needs here]]
* May require an advanced degree
* 2-4 years of related experience typically required
<i>Notes:</i>
* Typically reports to a manager, though only requires occasional direction
* Gains exposure to some complex tasks of the job
]
.panel[.panel-name[III]
* Purpose: Summarize and analyze complex/large data to guide business insights
* Independently merge and tidy data from multiple source systems, then conduct appropriate summarization or statistical analyses according to business stakeholder needs
* Use data and visualizations to inform business solutions for organizational leaders
* Organize databases, analyses, and reports into user-accessable and reproducible repositories
* Preferred R stack experience: tidyverse including dbplyr, R markdown, Shiny, caret .moffitt-orange[[insert required basket of R needs here]]
* Typically requires either advanced degree or 4-7 years of related experience, or an appropriate mix of the two
<i>Notes:</i>
* This independent/collaborative member typically reports to a manager, but requires minimal direction
* Contributes to solving complex challenges associated with the role
]
.panel[.panel-name[IV]
* Purpose: Summarize and analyze complex/large data to guide business insights
* Independently merge and tidy data from multiple source systems, then conduct appropriate summarization or statistical analyses according to business stakeholder needs
* Use data and visualizations to inform business solutions for organizational leaders
* Organize databases, analyses, and reports into user-accessable and reproducible repositories
* Preferred R stack experience: tidyverse including dbplyr, R markdown, Shiny, caret .moffitt-orange[[insert required basket of R needs here]]
* Typically requires either advanced degree or 7+ years of related experience, or an appropriate mix of the two
<i>Notes:</i>
* This independent/collaborative member typically reports to a manager or head of a unit, but work is primarily independent
* Often a team lead for complex problems
]
.panel[.panel-name[V]
* Purpose: Summarize and analyze complex/large data to guide business insights
* Independently merge and tidy data from multiple source systems, then conduct appropriate summarization or statistical analyses according to business stakeholder needs
* Use data and visualizations to inform business solutions for organizational leaders
* Organize databases, analyses, and reports into user-accessable and reproducible repositories
* Preferred R stack experience: tidyverse including dbplyr, R markdown, Shiny, caret .moffitt-orange[[insert required basket of R needs here]]
* Typically requires either advanced degree or 10+ years of related experience, or an appropriate mix of the two
<i>Notes:</i>
* This independent/collaborative member typically reports to a manager or head of a unit, but work is autonomous
* Leads teams to solving the most technical and complex problems encountered by the Data Science unit
]
]
---
<img src="index_files/figure-html/unnamed-chunk-2-1.png" width="936" />
---
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fill-opacity=\"0.7\" stroke=\"none\" title=\"Auburn-Opelika, AL&amp;lt;br /&amp;gt;Data Scientist I: $55,261&amp;lt;br /&amp;gt;Data Scientist II: $71,748&amp;lt;br /&amp;gt;Data Scientist III: $92,403&amp;lt;br /&amp;gt;Data Scientist IV: $110,521&amp;lt;br /&amp;gt;Data Scientist V: $131,629&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"295.53,223.49 296.17,227.62 296.81,231.75 301.19,231.05 305.56,230.32 304.85,226.20 304.14,222.08\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_84\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2F628D\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Augusta-Richmond County, GA-SC&amp;lt;br /&amp;gt;Data Scientist I: $53,777&amp;lt;br /&amp;gt;Data Scientist II: $69,822&amp;lt;br /&amp;gt;Data Scientist III: $89,922&amp;lt;br /&amp;gt;Data Scientist IV: $107,554&amp;lt;br /&amp;gt;Data Scientist V: $128,095&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"201.87,251.06 201.74,255.54 201.61,260.01 205.63,260.11 209.66,260.18 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title=\"Baton Rouge, LA&amp;lt;br /&amp;gt;Data Scientist I: $50,061&amp;lt;br /&amp;gt;Data Scientist II: $64,998&amp;lt;br /&amp;gt;Data Scientist III: $83,709&amp;lt;br /&amp;gt;Data Scientist IV: $100,123&amp;lt;br /&amp;gt;Data Scientist V: $119,244&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"272.49,165.97 272.80,168.46 275.90,168.07 275.57,165.57\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_91\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2F628D\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Battle Creek, MI&amp;lt;br /&amp;gt;Data Scientist I: $53,768&amp;lt;br /&amp;gt;Data Scientist II: $69,811&amp;lt;br /&amp;gt;Data Scientist III: $89,908&amp;lt;br /&amp;gt;Data Scientist IV: $107,536&amp;lt;br /&amp;gt;Data Scientist V: $128,074&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"224.01,249.26 224.06,253.20 224.11,257.13 224.16,261.06 231.92,260.90 231.81,256.98 231.70,253.04 231.60,249.10\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_92\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#316794\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Beaumont-Port Arthur, TX&amp;lt;br /&amp;gt;Data Scientist I: $56,368&amp;lt;br /&amp;gt;Data Scientist II: $73,186&amp;lt;br /&amp;gt;Data Scientist III: $94,254&amp;lt;br /&amp;gt;Data Scientist IV: $112,736&amp;lt;br /&amp;gt;Data Scientist V: $134,266&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"296.84,192.44 297.73,197.76 302.33,196.96 301.38,191.66\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_93\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#1B3B58\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Beckley, WV&amp;lt;br /&amp;gt;Data Scientist I: $31,637&amp;lt;br /&amp;gt;Data Scientist II: $41,076&amp;lt;br /&amp;gt;Data Scientist III: $52,901&amp;lt;br /&amp;gt;Data Scientist IV: $63,274&amp;lt;br /&amp;gt;Data Scientist V: $75,359&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"89.71,101.86 88.87,104.40 92.88,105.71 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title=\"Charleston, WV&amp;lt;br /&amp;gt;Data Scientist I: $47,945&amp;lt;br /&amp;gt;Data Scientist II: $62,250&amp;lt;br /&amp;gt;Data Scientist III: $80,171&amp;lt;br /&amp;gt;Data Scientist IV: $95,890&amp;lt;br /&amp;gt;Data Scientist V: $114,204&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"299.63,207.90 300.58,213.52 301.52,219.12 305.48,218.44 309.43,217.73 308.40,212.14 307.36,206.54\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_127\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#3C7DB1\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Charlotte-Concord-Gastonia, NC-SC&amp;lt;br /&amp;gt;Data Scientist I: $67,849&amp;lt;br /&amp;gt;Data Scientist II: $88,092&amp;lt;br /&amp;gt;Data Scientist III: $113,452&amp;lt;br /&amp;gt;Data Scientist IV: $135,697&amp;lt;br /&amp;gt;Data Scientist V: $161,613&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"309.79,188.54 310.58,192.55 311.37,196.56 317.55,195.30 316.71,191.30 315.87,187.30\" 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fill=\"#3875A6\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Columbus, OH&amp;lt;br /&amp;gt;Data Scientist I: $63,682&amp;lt;br /&amp;gt;Data Scientist II: $82,682&amp;lt;br /&amp;gt;Data Scientist III: $106,485&amp;lt;br /&amp;gt;Data Scientist IV: $127,364&amp;lt;br /&amp;gt;Data Scientist V: $151,689&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"203.63,269.24 203.50,274.54 210.98,274.68 211.04,269.37\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_145\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#204465\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Corpus Christi, TX&amp;lt;br /&amp;gt;Data Scientist I: $37,230&amp;lt;br /&amp;gt;Data Scientist II: $48,338&amp;lt;br /&amp;gt;Data Scientist III: $62,254&amp;lt;br /&amp;gt;Data Scientist IV: $74,461&amp;lt;br /&amp;gt;Data Scientist V: $88,681&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"77.73,130.00 76.71,133.01 80.32,134.21 81.31,131.19\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_146\" 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AL&amp;lt;br /&amp;gt;Data Scientist I: $36,938&amp;lt;br /&amp;gt;Data Scientist II: $47,959&amp;lt;br /&amp;gt;Data Scientist III: $61,765&amp;lt;br /&amp;gt;Data Scientist IV: $73,876&amp;lt;br /&amp;gt;Data Scientist V: $87,985&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"242.26,173.25 242.55,178.39 249.29,177.96 248.94,172.83\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_154\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#3976A7\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Davenport-Moline-Rock Island, IA-IL&amp;lt;br /&amp;gt;Data Scientist I: $64,167&amp;lt;br /&amp;gt;Data Scientist II: $83,312&amp;lt;br /&amp;gt;Data Scientist III: $107,295&amp;lt;br /&amp;gt;Data Scientist IV: $128,333&amp;lt;br /&amp;gt;Data Scientist V: $152,843&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"278.84,181.17 279.45,185.77 284.03,185.14 283.37,180.54\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_155\" 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Paso, TX&amp;lt;br /&amp;gt;Data Scientist I: $52,482&amp;lt;br /&amp;gt;Data Scientist II: $68,140&amp;lt;br /&amp;gt;Data Scientist III: $87,757&amp;lt;br /&amp;gt;Data Scientist IV: $104,964&amp;lt;br /&amp;gt;Data Scientist V: $125,010&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"269.55,196.69 270.15,202.20 275.94,201.53 275.27,196.03\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_172\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#306590\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Elizabethtown-Fort Knox, KY&amp;lt;br /&amp;gt;Data Scientist I: $55,102&amp;lt;br /&amp;gt;Data Scientist II: $71,543&amp;lt;br /&amp;gt;Data Scientist III: $92,138&amp;lt;br /&amp;gt;Data Scientist IV: $110,205&amp;lt;br /&amp;gt;Data Scientist V: $131,252&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"269.04,171.14 269.31,173.45 271.48,173.20 271.20,170.89\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_173\" 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clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#29567D\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Gainesville, FL&amp;lt;br /&amp;gt;Data Scientist I: $47,035&amp;lt;br /&amp;gt;Data Scientist II: $61,068&amp;lt;br /&amp;gt;Data Scientist III: $78,648&amp;lt;br /&amp;gt;Data Scientist IV: $94,070&amp;lt;br /&amp;gt;Data Scientist V: $112,036&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"286.67,220.99 287.08,223.91 289.72,223.54 289.30,220.62\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_194\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#326A97\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Gainesville, GA&amp;lt;br /&amp;gt;Data Scientist I: $57,762&amp;lt;br /&amp;gt;Data Scientist II: $74,995&amp;lt;br /&amp;gt;Data Scientist III: $96,585&amp;lt;br /&amp;gt;Data Scientist IV: $115,523&amp;lt;br /&amp;gt;Data Scientist V: $137,586&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"316.68,175.48 317.21,177.93 319.98,177.32 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title=\"Grants Pass, OR&amp;lt;br /&amp;gt;Data Scientist I: $33,971&amp;lt;br /&amp;gt;Data Scientist II: $44,107&amp;lt;br /&amp;gt;Data Scientist III: $56,804&amp;lt;br /&amp;gt;Data Scientist IV: $67,942&amp;lt;br /&amp;gt;Data Scientist V: $80,918&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"139.40,124.35 138.22,130.51 145.03,131.75 146.10,125.57\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_203\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#132B43\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Great Falls, MT&amp;lt;br /&amp;gt;Data Scientist I: $22,218&amp;lt;br /&amp;gt;Data Scientist II: $28,847&amp;lt;br /&amp;gt;Data Scientist III: $37,151&amp;lt;br /&amp;gt;Data Scientist IV: $44,435&amp;lt;br /&amp;gt;Data Scientist V: $52,922&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"167.63,176.87 166.86,183.99 170.89,184.40 174.93,184.79 175.57,177.66\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_204\" 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IN&amp;lt;br /&amp;gt;Data Scientist I: $47,286&amp;lt;br /&amp;gt;Data Scientist II: $61,394&amp;lt;br /&amp;gt;Data Scientist III: $79,068&amp;lt;br /&amp;gt;Data Scientist IV: $94,571&amp;lt;br /&amp;gt;Data Scientist V: $112,633&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"236.54,253.80 236.68,257.79 236.83,261.78 242.05,261.56 247.28,261.30 247.06,257.31 246.84,253.32\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_250\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#265176\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Lafayette, LA&amp;lt;br /&amp;gt;Data Scientist I: $44,429&amp;lt;br /&amp;gt;Data Scientist II: $57,685&amp;lt;br /&amp;gt;Data Scientist III: $74,292&amp;lt;br /&amp;gt;Data Scientist IV: $88,859&amp;lt;br /&amp;gt;Data Scientist V: $105,829&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"229.10,254.06 229.25,260.82 233.41,260.71 237.57,260.57 237.32,253.82\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_251\" 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stroke=\"none\" title=\"Macon, GA&amp;lt;br /&amp;gt;Data Scientist I: $58,597&amp;lt;br /&amp;gt;Data Scientist II: $76,081&amp;lt;br /&amp;gt;Data Scientist III: $97,982&amp;lt;br /&amp;gt;Data Scientist IV: $117,195&amp;lt;br /&amp;gt;Data Scientist V: $139,577&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"79.45,182.59 77.39,189.52 81.59,190.75 85.79,191.93 87.72,184.96\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_277\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#3977A9\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Madera, CA&amp;lt;br /&amp;gt;Data Scientist I: $64,752&amp;lt;br /&amp;gt;Data Scientist II: $84,071&amp;lt;br /&amp;gt;Data Scientist III: $108,273&amp;lt;br /&amp;gt;Data Scientist IV: $129,503&amp;lt;br /&amp;gt;Data Scientist V: $154,236&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"245.05,159.76 245.31,163.84 245.57,167.92 253.05,167.38 252.72,163.31 252.39,159.23\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_278\" 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clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#36709F\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Montgomery, AL&amp;lt;br /&amp;gt;Data Scientist I: $60,966&amp;lt;br /&amp;gt;Data Scientist II: $79,156&amp;lt;br /&amp;gt;Data Scientist III: $101,943&amp;lt;br /&amp;gt;Data Scientist IV: $121,932&amp;lt;br /&amp;gt;Data Scientist V: $145,219&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"301.32,181.09 302.00,184.79 307.14,183.83 306.43,180.13\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_299\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#316693\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Morgantown, WV&amp;lt;br /&amp;gt;Data Scientist I: $55,950&amp;lt;br /&amp;gt;Data Scientist II: $72,643&amp;lt;br /&amp;gt;Data Scientist III: $93,556&amp;lt;br /&amp;gt;Data Scientist IV: $111,900&amp;lt;br /&amp;gt;Data Scientist V: $133,271&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"286.91,207.82 287.36,210.99 290.97,210.46 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fill=\"#306490\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Nashville-Davidson--Murfreesboro--Franklin, TN&amp;lt;br /&amp;gt;Data Scientist I: $54,893&amp;lt;br /&amp;gt;Data Scientist II: $71,271&amp;lt;br /&amp;gt;Data Scientist III: $91,789&amp;lt;br /&amp;gt;Data Scientist IV: $109,787&amp;lt;br /&amp;gt;Data Scientist V: $130,754&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"347.59,155.17 347.92,156.28 348.42,156.13 348.09,155.02\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_308\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#356F9E\" fill-opacity=\"0.7\" stroke=\"none\" title=\"New Bedford, MA&amp;lt;br /&amp;gt;Data Scientist I: $60,508&amp;lt;br /&amp;gt;Data Scientist II: $78,561&amp;lt;br /&amp;gt;Data Scientist III: $101,177&amp;lt;br /&amp;gt;Data Scientist IV: $121,015&amp;lt;br /&amp;gt;Data Scientist V: $144,127&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"322.25,208.21 323.20,212.64 327.31,211.74 331.41,210.81 330.39,206.40\" 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clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2F638E\" fill-opacity=\"0.7\" stroke=\"none\" title=\"North Port-Sarasota-Bradenton, FL&amp;lt;br /&amp;gt;Data Scientist I: $54,016&amp;lt;br /&amp;gt;Data Scientist II: $70,132&amp;lt;br /&amp;gt;Data Scientist III: $90,322&amp;lt;br /&amp;gt;Data Scientist IV: $108,032&amp;lt;br /&amp;gt;Data Scientist V: $128,664&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"340.03,157.58 340.99,161.01 344.50,160.02 343.51,156.59\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_315\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#316793\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Norwich-New London-Westerly, CT-RI&amp;lt;br /&amp;gt;Data Scientist I: $56,287&amp;lt;br /&amp;gt;Data Scientist II: $73,081&amp;lt;br /&amp;gt;Data Scientist III: $94,120&amp;lt;br /&amp;gt;Data Scientist IV: $112,575&amp;lt;br /&amp;gt;Data Scientist V: $134,074&amp;lt;br /&amp;gt;\"/>\n <polygon 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title=\"Olympia-Tumwater, WA&amp;lt;br /&amp;gt;Data Scientist I: $59,764&amp;lt;br /&amp;gt;Data Scientist II: $77,596&amp;lt;br /&amp;gt;Data Scientist III: $99,934&amp;lt;br /&amp;gt;Data Scientist IV: $119,529&amp;lt;br /&amp;gt;Data Scientist V: $142,357&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"211.47,173.31 211.37,181.06 216.11,181.09 220.85,181.08 220.78,173.33\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_322\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#356E9D\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Omaha-Council Bluffs, NE-IA&amp;lt;br /&amp;gt;Data Scientist I: $60,161&amp;lt;br /&amp;gt;Data Scientist II: $78,111&amp;lt;br /&amp;gt;Data Scientist III: $100,598&amp;lt;br /&amp;gt;Data Scientist IV: $120,323&amp;lt;br /&amp;gt;Data Scientist V: $143,302&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"304.96,255.58 305.88,261.22 306.80,266.85 313.81,265.66 312.82,260.04 311.82,254.42\" 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title=\"Provo-Orem, UT&amp;lt;br /&amp;gt;Data Scientist I: $68,844&amp;lt;br /&amp;gt;Data Scientist II: $89,384&amp;lt;br /&amp;gt;Data Scientist III: $115,116&amp;lt;br /&amp;gt;Data Scientist IV: $137,687&amp;lt;br /&amp;gt;Data Scientist V: $163,983&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"165.76,194.49 165.16,200.07 170.77,200.64 171.30,195.05\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_345\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2B5B83\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Pueblo, CO&amp;lt;br /&amp;gt;Data Scientist I: $49,751&amp;lt;br /&amp;gt;Data Scientist II: $64,595&amp;lt;br /&amp;gt;Data Scientist III: $83,190&amp;lt;br /&amp;gt;Data Scientist IV: $99,502&amp;lt;br /&amp;gt;Data Scientist V: $118,505&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"304.38,271.51 304.67,273.34 310.33,272.41 310.02,270.59\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_346\" 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/&amp;gt;Data Scientist II: $70,996&amp;lt;br /&amp;gt;Data Scientist III: $91,435&amp;lt;br /&amp;gt;Data Scientist IV: $109,363&amp;lt;br /&amp;gt;Data Scientist V: $130,250&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"318.10,203.39 318.87,207.06 324.08,205.95 323.27,202.28\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_359\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2E608A\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Rocky Mount, NC&amp;lt;br /&amp;gt;Data Scientist I: $52,533&amp;lt;br /&amp;gt;Data Scientist II: $68,206&amp;lt;br /&amp;gt;Data Scientist III: $87,841&amp;lt;br /&amp;gt;Data Scientist IV: $105,065&amp;lt;br /&amp;gt;Data Scientist V: $125,131&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"278.39,221.54 278.83,225.12 281.53,224.79 281.08,221.21\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_360\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#448CC5\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Rome, 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clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2D5F89\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Saginaw, MI&amp;lt;br /&amp;gt;Data Scientist I: $51,963&amp;lt;br /&amp;gt;Data Scientist II: $67,466&amp;lt;br /&amp;gt;Data Scientist III: $86,888&amp;lt;br /&amp;gt;Data Scientist IV: $103,925&amp;lt;br /&amp;gt;Data Scientist V: $123,773&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"79.45,126.33 78.08,130.41 82.88,131.99 87.70,133.52 88.98,129.42\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_363\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#326895\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Salem, OR&amp;lt;br /&amp;gt;Data Scientist I: $57,007&amp;lt;br /&amp;gt;Data Scientist II: $74,015&amp;lt;br /&amp;gt;Data Scientist III: $95,322&amp;lt;br /&amp;gt;Data Scientist IV: $114,013&amp;lt;br /&amp;gt;Data Scientist V: $135,788&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"69.47,185.93 68.26,189.77 67.05,193.61 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clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#4288C1\" fill-opacity=\"0.7\" stroke=\"none\" title=\"San Diego-Carlsbad, CA&amp;lt;br /&amp;gt;Data Scientist I: $73,848&amp;lt;br /&amp;gt;Data Scientist II: $95,881&amp;lt;br /&amp;gt;Data Scientist III: $123,483&amp;lt;br /&amp;gt;Data Scientist IV: $147,696&amp;lt;br /&amp;gt;Data Scientist V: $175,903&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"66.49,174.47 65.07,178.76 63.66,183.05 68.29,184.56 72.93,186.01 74.26,181.70 75.59,177.37\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_370\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#4FA2E3\" fill-opacity=\"0.7\" stroke=\"none\" title=\"San Francisco-Oakland-Hayward, CA&amp;lt;br /&amp;gt;Data Scientist I: $86,763&amp;lt;br /&amp;gt;Data Scientist II: $112,650&amp;lt;br /&amp;gt;Data Scientist III: $145,080&amp;lt;br /&amp;gt;Data Scientist IV: $173,527&amp;lt;br /&amp;gt;Data Scientist V: $206,668&amp;lt;br /&amp;gt;\"/>\n 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---
### Concluding remarks
--
* Primary drivers of salary estimates are experience and autonomy
+ Corollary: You probably don't need to learn fancy new language X to get the job you want
+ These drivers may evolve in the data science domain
--
* Salary surveys are not yet capturing specific data science roles
+ E.g. machine learning engineer, decision scientist
--
* This talk is not arguing for or against the current process
+ Instead, it reports the pipeline that is common to large organizations to:
+ Empower you, the unicoRn, to capture the compensation you deserve
+ Empower managers to recruit and compensate the unicoRns they need
---
### MASSIVE THANKS &#x1F44F;
* Donna Evans, HR guru
* Jordan Creed [@jhcreed](https://twitter.com/jhcreed), unicoRn hex sticker guru
* Garrick Aden-Buie [@grrrck](https://twitter.com/grrrck), `xaringanExtra` &#x1F4E6; + all around CSS/JS guru
* David Gohel [@DavidGohel](https://twitter.com/DavidGohel), [`ggiraph`](https://davidgohel.github.io/ggiraph/index.html) &#x1F4E6;
* Tampa R Users Group [@UseRTampa](https://twitter.com/UseRTampa/), the feedback gurus
* [Emily Robinson](https://twitter.com/robinson_es) & [Jacqueline Nolis](https://twitter.com/skyetetra), gurus of writing the [bestbook.cool](https://www.bestbook.cool)
&#x1F4BB; https://github.com/tgerke/unicoRns-are-real <br>
&#x1F4FA; https://unicorns-are-real.netlify.com/ <br>
<img src="figures/twitter-brands.svg" alt="Twitter logo" width="24px"/> [@travisgerke](https://twitter.com/travisgerke)
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