Advertisement

Data Scientists at Work

  • Authors
  • Sebastian Gutierrez

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Sebastian Gutierrez
    Pages 1-17
  3. Sebastian Gutierrez
    Pages 19-43
  4. Sebastian Gutierrez
    Pages 45-65
  5. Sebastian Gutierrez
    Pages 67-81
  6. Sebastian Gutierrez
    Pages 83-105
  7. Sebastian Gutierrez
    Pages 107-129
  8. Sebastian Gutierrez
    Pages 131-149
  9. Sebastian Gutierrez
    Pages 151-177
  10. Sebastian Gutierrez
    Pages 179-198
  11. Sebastian Gutierrez
    Pages 199-219
  12. Sebastian Gutierrez
    Pages 221-238
  13. Sebastian Gutierrez
    Pages 239-257
  14. Sebastian Gutierrez
    Pages 259-272
  15. Sebastian Gutierrez
    Pages 273-292
  16. Sebastian Gutierrez
    Pages 293-317
  17. Sebastian Gutierrez
    Pages 319-333
  18. Back Matter
    Pages 335-346

About this book

Introduction

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, their discoveries 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.

Bibliographic information