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'); .text-poster { font-family: 'Merriweather', serif; margin: 0 auto; } .strive-to-recruit .text-poster .line-container .line:nth-child(2) { color: #82c878; } .strive-to-recruit { 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" /> --- .map-position[ <div id="htmlwidget-dc24b509e8c7baf05c3b" style="width:720px;height:432px;" class="girafe html-widget"></div> <script type="application/json" data-for="htmlwidget-dc24b509e8c7baf05c3b">{"x":{"html":"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299\" viewBox=\"0 0 432.00 360.00\">\n <g>\n <defs>\n <clipPath 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WA&amp;lt;br /&amp;gt;Data Scientist I: $52,965&amp;lt;br /&amp;gt;Data Scientist II: $68,768&amp;lt;br /&amp;gt;Data Scientist III: $88,565&amp;lt;br /&amp;gt;Data Scientist IV: $105,931&amp;lt;br /&amp;gt;Data Scientist V: $126,162&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"85.78,135.09 84.10,140.42 89.29,142.03 94.51,143.56 96.06,138.19\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_95\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2F638F\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Bend-Redmond, OR&amp;lt;br /&amp;gt;Data Scientist I: $54,356&amp;lt;br /&amp;gt;Data Scientist II: $70,574&amp;lt;br /&amp;gt;Data Scientist III: $90,891&amp;lt;br /&amp;gt;Data Scientist IV: $108,712&amp;lt;br /&amp;gt;Data Scientist V: $129,475&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"148.99,132.90 148.32,137.01 147.64,141.12 146.97,145.23 152.80,146.15 158.63,146.99 159.20,142.86 159.76,138.73 160.32,134.60\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_96\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2C5C84\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Billings, MT&amp;lt;br /&amp;gt;Data Scientist I: $50,228&amp;lt;br /&amp;gt;Data Scientist II: $65,215&amp;lt;br /&amp;gt;Data Scientist III: $83,989&amp;lt;br /&amp;gt;Data Scientist IV: $100,457&amp;lt;br /&amp;gt;Data Scientist V: $119,643&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"317.78,158.06 318.44,160.97 324.65,159.50 323.95,156.60\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_97\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#3D7FB3\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Binghamton, NY&amp;lt;br /&amp;gt;Data Scientist I: $68,772&amp;lt;br /&amp;gt;Data Scientist II: $89,291&amp;lt;br /&amp;gt;Data Scientist III: $114,996&amp;lt;br /&amp;gt;Data Scientist IV: $137,544&amp;lt;br /&amp;gt;Data Scientist V: $163,813&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"265.83,225.25 266.37,230.89 266.91,236.52 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I: $49,834&amp;lt;br /&amp;gt;Data Scientist II: $64,703&amp;lt;br /&amp;gt;Data Scientist III: $83,330&amp;lt;br /&amp;gt;Data Scientist IV: $99,669&amp;lt;br /&amp;gt;Data Scientist V: $118,704&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"310.28,202.49 311.66,209.66 316.57,208.70 315.12,201.53\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_167\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#3D80B5\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Durham-Chapel Hill, NC&amp;lt;br /&amp;gt;Data Scientist I: $69,306&amp;lt;br /&amp;gt;Data Scientist II: $89,984&amp;lt;br /&amp;gt;Data Scientist III: $115,889&amp;lt;br /&amp;gt;Data Scientist IV: $138,612&amp;lt;br /&amp;gt;Data Scientist V: $165,085&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"324.40,165.05 325.13,168.09 328.72,167.21 327.96,164.18\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_168\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#214769\" fill-opacity=\"0.7\" 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ND-MN&amp;lt;br /&amp;gt;Data Scientist I: $56,272&amp;lt;br /&amp;gt;Data Scientist II: $73,062&amp;lt;br /&amp;gt;Data Scientist III: $94,095&amp;lt;br /&amp;gt;Data Scientist IV: $112,545&amp;lt;br /&amp;gt;Data Scientist V: $134,039&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"141.96,202.30 140.87,209.34 145.53,210.04 150.19,210.70 151.15,203.64\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_180\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#1E4060\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Farmington, NM&amp;lt;br /&amp;gt;Data Scientist I: $34,849&amp;lt;br /&amp;gt;Data Scientist II: $45,246&amp;lt;br /&amp;gt;Data Scientist III: $58,271&amp;lt;br /&amp;gt;Data Scientist IV: $69,697&amp;lt;br /&amp;gt;Data Scientist V: $83,008&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"224.15,209.72 224.26,216.95 231.08,216.80 230.88,209.57\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_181\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2E608B\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Fayetteville-Springdale-Rogers, AR-MO&amp;lt;br /&amp;gt;Data Scientist I: $52,742&amp;lt;br /&amp;gt;Data Scientist II: $68,478&amp;lt;br /&amp;gt;Data Scientist III: $88,191&amp;lt;br /&amp;gt;Data Scientist IV: $105,483&amp;lt;br /&amp;gt;Data Scientist V: $125,629&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"312.55,211.29 313.14,214.31 318.71,213.20 318.09,210.18\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_182\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#306591\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Fayetteville, NC&amp;lt;br /&amp;gt;Data Scientist I: $55,165&amp;lt;br /&amp;gt;Data Scientist II: $71,624&amp;lt;br /&amp;gt;Data Scientist III: $92,243&amp;lt;br /&amp;gt;Data Scientist IV: $110,330&amp;lt;br /&amp;gt;Data Scientist V: $131,401&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"117.73,197.90 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stroke=\"none\" title=\"Fort Collins, CO&amp;lt;br /&amp;gt;Data Scientist I: $63,788&amp;lt;br /&amp;gt;Data Scientist II: $82,819&amp;lt;br /&amp;gt;Data Scientist III: $106,661&amp;lt;br /&amp;gt;Data Scientist IV: $127,575&amp;lt;br /&amp;gt;Data Scientist V: $151,940&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"221.26,216.88 221.30,221.35 221.34,225.82 228.68,225.70 228.58,221.24 228.48,216.77\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_189\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#28557C\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Fort Smith, AR-OK&amp;lt;br /&amp;gt;Data Scientist I: $46,790&amp;lt;br /&amp;gt;Data Scientist II: $60,750&amp;lt;br /&amp;gt;Data Scientist III: $78,239&amp;lt;br /&amp;gt;Data Scientist IV: $93,580&amp;lt;br /&amp;gt;Data Scientist V: $111,453&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"271.42,174.21 272.04,179.38 276.79,178.79 276.12,173.63\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_190\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#336A97\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Fort Wayne, IN&amp;lt;br /&amp;gt;Data Scientist I: $57,875&amp;lt;br /&amp;gt;Data Scientist II: $75,143&amp;lt;br /&amp;gt;Data Scientist III: $96,775&amp;lt;br /&amp;gt;Data Scientist IV: $115,750&amp;lt;br /&amp;gt;Data Scientist V: $137,857&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"77.03,183.30 75.88,187.12 74.74,190.93 73.59,194.75 78.34,196.15 83.10,197.51 87.87,198.82 88.91,194.97 89.94,191.12 90.98,187.27\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_191\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#316794\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Fresno, CA&amp;lt;br /&amp;gt;Data Scientist I: $56,419&amp;lt;br /&amp;gt;Data Scientist II: $73,252&amp;lt;br /&amp;gt;Data Scientist III: $94,339&amp;lt;br /&amp;gt;Data Scientist IV: $112,837&amp;lt;br /&amp;gt;Data Scientist V: $134,387&amp;lt;br /&amp;gt;\"/>\n 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fill=\"#346D9C\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Hagerstown-Martinsburg, MD-WV&amp;lt;br /&amp;gt;Data Scientist I: $59,755&amp;lt;br /&amp;gt;Data Scientist II: $77,584&amp;lt;br /&amp;gt;Data Scientist III: $99,919&amp;lt;br /&amp;gt;Data Scientist IV: $119,511&amp;lt;br /&amp;gt;Data Scientist V: $142,335&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"78.11,191.77 76.71,196.55 81.41,197.91 82.77,193.11\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_211\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#234B6E\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Hanford-Corcoran, CA&amp;lt;br /&amp;gt;Data Scientist I: $40,836&amp;lt;br /&amp;gt;Data Scientist II: $53,020&amp;lt;br /&amp;gt;Data Scientist III: $68,283&amp;lt;br /&amp;gt;Data Scientist IV: $81,672&amp;lt;br /&amp;gt;Data Scientist V: $97,270&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"314.72,171.60 315.80,176.60 321.87,175.25 320.73,170.26\" 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stroke=\"none\" title=\"Iowa City, IA&amp;lt;br /&amp;gt;Data Scientist I: $54,983&amp;lt;br /&amp;gt;Data Scientist II: $71,388&amp;lt;br /&amp;gt;Data Scientist III: $91,939&amp;lt;br /&amp;gt;Data Scientist IV: $109,966&amp;lt;br /&amp;gt;Data Scientist V: $130,968&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"316.76,156.74 317.34,159.28 319.70,158.73 319.11,156.20\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_227\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#326895\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Ithaca, NY&amp;lt;br /&amp;gt;Data Scientist I: $57,001&amp;lt;br /&amp;gt;Data Scientist II: $74,007&amp;lt;br /&amp;gt;Data Scientist III: $95,312&amp;lt;br /&amp;gt;Data Scientist IV: $114,001&amp;lt;br /&amp;gt;Data Scientist V: $135,774&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"275.52,165.56 275.85,168.07 278.94,167.66 278.59,165.15\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_228\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#3875A7\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Jackson, MI&amp;lt;br /&amp;gt;Data Scientist I: $63,958&amp;lt;br /&amp;gt;Data Scientist II: $83,040&amp;lt;br /&amp;gt;Data Scientist III: $106,946&amp;lt;br /&amp;gt;Data Scientist IV: $127,916&amp;lt;br /&amp;gt;Data Scientist V: $152,345&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"247.84,235.44 248.12,240.15 248.40,244.86 255.20,244.41 254.86,239.71 254.52,235.00\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_229\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#275277\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Jackson, MS&amp;lt;br /&amp;gt;Data Scientist I: $44,937&amp;lt;br /&amp;gt;Data Scientist II: $58,344&amp;lt;br /&amp;gt;Data Scientist III: $75,140&amp;lt;br /&amp;gt;Data Scientist IV: $89,873&amp;lt;br /&amp;gt;Data Scientist V: $107,038&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"254.68,213.80 255.08,219.14 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/&amp;gt;Data Scientist II: $66,319&amp;lt;br /&amp;gt;Data Scientist III: $85,411&amp;lt;br /&amp;gt;Data Scientist IV: $102,158&amp;lt;br /&amp;gt;Data Scientist V: $121,669&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"307.30,172.65 307.97,176.04 311.75,175.27 311.04,171.89\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_236\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2F638F\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Johnstown, PA&amp;lt;br /&amp;gt;Data Scientist I: $54,493&amp;lt;br /&amp;gt;Data Scientist II: $70,752&amp;lt;br /&amp;gt;Data Scientist III: $91,120&amp;lt;br /&amp;gt;Data Scientist IV: $108,987&amp;lt;br /&amp;gt;Data Scientist V: $129,802&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"244.97,214.47 245.19,218.43 249.59,218.16 249.33,214.20\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_237\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#214769\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Jonesboro, AR&amp;lt;br /&amp;gt;Data Scientist I: $38,687&amp;lt;br /&amp;gt;Data Scientist II: $50,229&amp;lt;br /&amp;gt;Data Scientist III: $64,689&amp;lt;br /&amp;gt;Data Scientist IV: $77,374&amp;lt;br /&amp;gt;Data Scientist V: $92,151&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"224.09,205.46 224.15,209.85 227.40,209.79 227.31,205.40\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_238\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#265277\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Joplin, MO&amp;lt;br /&amp;gt;Data Scientist I: $44,704&amp;lt;br /&amp;gt;Data Scientist II: $58,042&amp;lt;br /&amp;gt;Data Scientist III: $74,751&amp;lt;br /&amp;gt;Data Scientist IV: $89,408&amp;lt;br /&amp;gt;Data Scientist V: $106,483&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"263.14,167.03 263.39,169.53 268.12,169.02 272.83,168.47 272.52,165.97\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_239\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2E618C\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Kalamazoo-Portage, MI&amp;lt;br /&amp;gt;Data Scientist I: $53,213&amp;lt;br /&amp;gt;Data Scientist II: $69,090&amp;lt;br /&amp;gt;Data Scientist III: $88,979&amp;lt;br /&amp;gt;Data Scientist IV: $106,426&amp;lt;br /&amp;gt;Data Scientist V: $126,752&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"257.75,175.61 257.94,177.77 261.83,177.41 261.62,175.25\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_240\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2A5981\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Kankakee, IL&amp;lt;br /&amp;gt;Data Scientist I: $48,915&amp;lt;br /&amp;gt;Data Scientist II: $63,510&amp;lt;br /&amp;gt;Data Scientist III: $81,793&amp;lt;br /&amp;gt;Data Scientist IV: $97,830&amp;lt;br /&amp;gt;Data Scientist V: $116,514&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"220.72,188.19 220.75,192.38 220.78,196.58 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fill=\"#336C9A\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Knoxville, TN&amp;lt;br /&amp;gt;Data Scientist I: $58,827&amp;lt;br /&amp;gt;Data Scientist II: $76,379&amp;lt;br /&amp;gt;Data Scientist III: $98,367&amp;lt;br /&amp;gt;Data Scientist IV: $117,654&amp;lt;br /&amp;gt;Data Scientist V: $140,124&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"268.33,179.82 268.48,181.18 271.25,180.87 271.09,179.50\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_247\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#316794\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Kokomo, IN&amp;lt;br /&amp;gt;Data Scientist I: $56,601&amp;lt;br /&amp;gt;Data Scientist II: $73,488&amp;lt;br /&amp;gt;Data Scientist III: $94,644&amp;lt;br /&amp;gt;Data Scientist IV: $113,201&amp;lt;br /&amp;gt;Data Scientist V: $134,821&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"238.20,156.94 238.40,161.15 242.64,160.93 242.40,156.72\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_248\" 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/&amp;gt;Data Scientist III: $108,228&amp;lt;br /&amp;gt;Data Scientist IV: $129,450&amp;lt;br /&amp;gt;Data Scientist V: $154,172&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"177.94,238.39 177.48,244.54 181.16,244.80 181.58,238.65\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_290\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#3977AA\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Midland, TX&amp;lt;br /&amp;gt;Data Scientist I: $64,979&amp;lt;br /&amp;gt;Data Scientist II: $84,366&amp;lt;br /&amp;gt;Data Scientist III: $108,653&amp;lt;br /&amp;gt;Data Scientist IV: $129,957&amp;lt;br /&amp;gt;Data Scientist V: $154,777&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"254.83,159.75 255.26,164.75 262.93,164.03 262.42,159.04\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_291\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#346D9C\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Milwaukee-Waukesha-West Allis, WI&amp;lt;br 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IN&amp;lt;br /&amp;gt;Data Scientist I: $39,594&amp;lt;br /&amp;gt;Data Scientist II: $51,408&amp;lt;br /&amp;gt;Data Scientist III: $66,207&amp;lt;br /&amp;gt;Data Scientist IV: $79,188&amp;lt;br /&amp;gt;Data Scientist V: $94,312&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"262.07,159.58 262.32,162.11 269.35,161.34 269.05,158.81\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_303\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2F638E\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Muskegon, MI&amp;lt;br /&amp;gt;Data Scientist I: $54,219&amp;lt;br /&amp;gt;Data Scientist II: $70,396&amp;lt;br /&amp;gt;Data Scientist III: $90,661&amp;lt;br /&amp;gt;Data Scientist IV: $108,438&amp;lt;br /&amp;gt;Data Scientist V: $129,148&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"314.46,217.39 315.55,222.98 319.79,222.13 324.02,221.25 322.84,215.68\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_304\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" 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/&amp;gt;Data Scientist III: $69,471&amp;lt;br /&amp;gt;Data Scientist IV: $83,092&amp;lt;br /&amp;gt;Data Scientist V: $98,962&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"337.99,160.84 338.19,161.56 338.90,161.36 338.70,160.65\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_310\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#306490\" fill-opacity=\"0.7\" stroke=\"none\" title=\"New Haven, CT&amp;lt;br /&amp;gt;Data Scientist I: $55,037&amp;lt;br /&amp;gt;Data Scientist II: $71,457&amp;lt;br /&amp;gt;Data Scientist III: $92,029&amp;lt;br /&amp;gt;Data Scientist IV: $110,073&amp;lt;br /&amp;gt;Data Scientist V: $131,096&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"247.54,251.77 247.78,256.12 248.03,260.45 248.28,264.77 252.96,264.49 257.65,264.16 262.33,263.79 261.97,259.47 261.61,255.15 261.25,250.82\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_311\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2F638F\" 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title=\"Odessa, TX&amp;lt;br /&amp;gt;Data Scientist I: $37,600&amp;lt;br /&amp;gt;Data Scientist II: $48,819&amp;lt;br /&amp;gt;Data Scientist III: $62,873&amp;lt;br /&amp;gt;Data Scientist IV: $75,201&amp;lt;br /&amp;gt;Data Scientist V: $89,563&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"121.41,162.19 120.48,166.50 119.55,170.80 124.52,171.84 129.50,172.83 134.50,173.77 135.28,169.43 136.07,165.10\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_319\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#326996\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Ogden-Clearfield, UT&amp;lt;br /&amp;gt;Data Scientist I: $57,383&amp;lt;br /&amp;gt;Data Scientist II: $74,503&amp;lt;br /&amp;gt;Data Scientist III: $95,951&amp;lt;br /&amp;gt;Data Scientist IV: $114,765&amp;lt;br /&amp;gt;Data Scientist V: $136,684&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"202.84,213.84 202.69,219.12 202.53,224.38 207.54,224.50 212.54,224.57 212.59,219.31 212.64,214.03\" 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Clara, CA&amp;lt;br /&amp;gt;Data Scientist I: $93,940&amp;lt;br /&amp;gt;Data Scientist II: $121,969&amp;lt;br /&amp;gt;Data Scientist III: $157,081&amp;lt;br /&amp;gt;Data Scientist IV: $187,881&amp;lt;br /&amp;gt;Data Scientist V: $223,763&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"70.47,194.62 68.59,200.73 74.13,202.40 79.70,204.00 81.43,197.85\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_372\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#326997\" fill-opacity=\"0.7\" stroke=\"none\" title=\"San Luis Obispo-Paso Robles-Arroyo Grande, CA&amp;lt;br /&amp;gt;Data Scientist I: $57,654&amp;lt;br /&amp;gt;Data Scientist II: $74,856&amp;lt;br /&amp;gt;Data Scientist III: $96,405&amp;lt;br /&amp;gt;Data Scientist IV: $115,308&amp;lt;br /&amp;gt;Data Scientist V: $137,330&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"68.81,182.99 67.80,186.15 71.83,187.42 72.81,184.24\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_373\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2E618C\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Santa Cruz-Watsonville, CA&amp;lt;br /&amp;gt;Data Scientist I: $53,238&amp;lt;br /&amp;gt;Data Scientist II: $69,122&amp;lt;br /&amp;gt;Data Scientist III: $89,021&amp;lt;br /&amp;gt;Data Scientist IV: $106,476&amp;lt;br /&amp;gt;Data Scientist V: $126,811&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"156.93,211.55 156.10,218.34 159.23,218.71 160.01,211.92\" id=\"svg_2c8458c6-6034-4612-8a21-d9d9fc722299_el_374\" clip-path=\"url(#svg_2c8458c6-6034-4612-8a21-d9d9fc722299_cl_5)\" fill=\"#2A5981\" fill-opacity=\"0.7\" stroke=\"none\" title=\"Santa Fe, NM&amp;lt;br /&amp;gt;Data Scientist I: $49,038&amp;lt;br /&amp;gt;Data Scientist II: $63,668&amp;lt;br /&amp;gt;Data Scientist III: $81,997&amp;lt;br /&amp;gt;Data Scientist IV: $98,075&amp;lt;br /&amp;gt;Data Scientist V: $116,806&amp;lt;br /&amp;gt;\"/>\n <polygon points=\"73.00,200.45 71.85,204.31 70.69,208.17 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[@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) .w-15.h-center[  ] <style type="text/css"> .talk-logo { width: 480px; height: 556px; position: absolute; top: 5%; left: calc(50% - 240px); background-image: url('figures/unicorn_hex_title.png'); background-size: cover; background-repeat: no-repeat; } .talk-title { font-family: Overpass; } 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