Data Scientists at Work

1. Front Matter

   Pages i-xvi

   PDF

2. Chris Wiggins

   • Sebastian Gutierrez

   Pages 1-17

3. Caitlin Smallwood

   • Sebastian Gutierrez

   Pages 19-43

4. Yann LeCun

   • Sebastian Gutierrez

   Pages 45-65

5. Erin Shellman

   • Sebastian Gutierrez

   Pages 67-81

6. Daniel Tunkelang

   • Sebastian Gutierrez

   Pages 83-105

7. John Foreman

   • Sebastian Gutierrez

   Pages 107-129

8. Roger Ehrenberg

   • Sebastian Gutierrez

   Pages 131-149

9. Claudia Perlich

   • Sebastian Gutierrez

   Pages 151-177

10. Jonathan Lenaghan

    • Sebastian Gutierrez

    Pages 179-198

11. Anna Smith

    • Sebastian Gutierrez

    Pages 199-219

12. André Karpištšenko

    • Sebastian Gutierrez

    Pages 221-238

13. Amy Heineike

    • Sebastian Gutierrez

    Pages 239-257

14. Victor Hu

    • Sebastian Gutierrez

    Pages 259-272

15. Kira Radinsky

    • Sebastian Gutierrez

    Pages 273-292

16. Eric Jonas

    • Sebastian Gutierrez

    Pages 293-317

17. Jake Porway

    • Sebastian Gutierrez

    Pages 319-333

18. Back Matter

    Pages 335-346

    PDF

Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will experience a shortage of 190,000 skilled data scientists, according to a McKinsey report.

Through incisive in-depth interviews, this book mines the what, how, and why of the practice of data science from the stories, ideas, shop talk, and forecasts of its preeminent practitioners across diverse industries: social network (Yann LeCun, Facebook); professional network (Daniel Tunkelang, LinkedIn); venture capital (Roger Ehrenberg, IA Ventures); enterprise cloud computing and neuroscience (Eric Jonas, formerly Salesforce.com); newspaper and media (Chris Wiggins, The New York Times); streaming television (Caitlin Smallwood, Netflix); music forecast (Victor Hu, Next Big Sound); strategic intelligence (Amy Heineike, Quid); environmental big data (André Karpištšenko, Planet OS); geospatial marketing intelligence (Jonathan Lenaghan, PlaceIQ); advertising (Claudia Perlich, Dstillery); fashion e-commerce (Anna Smith, Rent the Runway); specialty retail (Erin Shellman, Nordstrom); email marketing (John Foreman, MailChimp); predictive sales intelligence (Kira Radinsky, SalesPredict); and humanitarian nonprofit (Jake Porway, DataKind). The book features a stimulating foreword by Google's Director of Research, Peter Norvig.

Each of these data scientists shares how he or she tailors the torrent-taming techniques of big data, data visualization, search, and statistics to specific jobs by dint of ingenuity, imagination, patience, and passion. Data Scientists at Work parts the curtain on the interviewees’ earliest data projects, how they became data scientists, theirdiscoveries and surprises in working with data, their thoughts on the past, present, and future of the profession, their experiences of team collaboration within their organizations, and the insights they have gained as they get their hands dirty refining mountains of raw data into objects of commercial, scientific, and educational value for their organizations and clients.

Sebastian Gutierrez is a data entrepreneur who has founded three data-related companies: DataYou (data science and data visualization consulting and education), LetsWombat (data-driven product sampling), and Acheevmo (athletic performance statistics). He was formerly an emerging markets risk manager at Scotia Capital and an FX options trader at JP Morgan and Standard Chartered Bank.Gutierrez provides training in data visualization and D3.js to a diverse client base, including corporations such as the New York Stock Exchange, the American Express Company, and General Dynamics, universities, media agencies, and startups. He leads the 1,600-member New York City D3.js Meetup Group and is co-editor of Data Science Weekly, a weekly newsletter providing curated articles and videos on the latest developments in data science. He is a frequent speaker at meetups and conferences, such as Strata and Hadoop World in New York and Barcelona. He is a cross-disciplinary instructor at General Assembly. Gutierrez holds a BS in Mathematics from MIT and an MA in Economics from the University of San Francisco.

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