Building Data Science Teams

As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success.

Topics include: What it means to be “data driven.” The unique roles of data scientists. The four essential qualities of data scientists. Patil’s first-hand experience building the LinkedIn data science team.

Table of Contents

Being Data Driven 2
The Roles of a Data Scientist 5
Decision sciences and business intelligence 5
Product and marketing analytics 7
Fraud, abuse, risk and security 8
Data services and operations 9
Data engineering and infrastructure 9
Organizational and reporting alignment 10
What Makes a Data Scientist? 11
Hiring and talent 14
Would we be willing to do a startup with you? 14
Can you “knock the socks off” of the company in 90 days? 14
In four to six years, will you be doing something amazing? 15
Building the LinkedIn Data Science Team 16
Reinvention 18
About the Author 18