Data Scientists at Work

By Sebastian Gutierrez

Data Scientists at Work Cover Image

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.

Full Description

  • ISBN13: 978-1-4302-6598-6
  • 320 Pages
  • User Level: Beginner to Advanced
  • Publishing October 28, 2014, but available now as part of the Alpha Program
  • Available eBook Formats: PDF
  • Print Book Price: $29.99
  • eBook Price: $20.99

Related Titles

Full Description

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" and data scientist job openings increased 15,000 percent in 2012 over 2011, according to the Harvard Business Review. Through incisive in-depth interviews, a data entrepreneur explores the what, how, and why of the practice of data science as revealed in its practitioners’ stories, ideas, and aspirations. Data scientists in the diverse sectors of finance, venture capital, angel investment, retail, e-commerce, fashion, government, education, science, mathematics, politics, news,and sports share with Sebastian Gutierrez how they tailor the torrent-taming techniques of big data, data visualization, search, and statistics to specific jobs by applying intellectual ingenuity, statistical skill, and visual imagination.

The data scientists in this book speak freely of the day-to-day travails and pleasures of extracting actionable meaning and competitive intelligence from rich but recalcitrant big data sets. Gutierrez parts the curtain on his 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 the organizations to which they contribute, and the deep insights they have developed as they get their hands dirty refining mountains of raw data into objects of commercial, scientific, and educational value for their organizations and clients.

What you’ll learn

Readers will learn:

  • What data scientists really do, why they’re so hot, and how much leverage they have
  • What data scientists do with the data you generate
  • Whether you have the right stuff to be a data scientist and how to match yourself to the right area
  • How to build and leverage your skill set for a stimulating and remunerative career in data science

Who this book is for

The primary readership for this book is general-interest readers interested in this hot new profession and in the nature of the people who work up the readers’ own data trails. The secondary readerships are (a) scientists, mathematicians, and students in feeder disciplines who are interested in scouting the vocational prospects and daily working conditions of data scientists with a view to becoming data scientists themselves, and (b) of business colleagues and managers seeking to understand and collaborate with data scientists to integrate their data management and interpretation capabilities into the competitive intelligence capabilities of the enterprise.

Table of Contents

Table of Contents

Chapter 1. Chris Wiggins (The New York Times)

Chapter 2. Caitlin Smallwood (Netflix)

Chapter 3. Yann LeCun (Facebook)

Chapter 4. Erin Shellman (Nordstrom)

Chapter 5. Daniel Tunkelang (LinkedIn)

Chapter 6. John Foreman (MailChimp)

Chapter 7. Roger Ehrenberg (IA Ventures)

Chapter 8. Claudia Perlich (Dstillery)

Chapter 9. Jonathan Lenaghan (PlaceIQ)

Chapter 10. Anna Smith (Rent The Runway)

Chapter 11. Andre Karpistsenko (Planet OS)

Chapter 12. Amy Heineike (Quid)

Chapter 13. Victor Hu Next (Big Sound)

Chapter 14. Kira Radinsky (SalesPredict)

Chapter 15. Eric Jonas (Independent Scientist)

Chapter 16. Jake Porway (DataKind)


Please Login to submit errata.

No errata are currently published