Building Data Science Teams

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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.

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DJ Patil has held a variety of roles in Academia, Industry, and Government. These include, VP of Product at RelateIQ which was acquired by Salesforce. The Data Scientist in Residence at Greylock Partners. The Chief Scientist, Chief Security Officer and Head of Analytics and Data Product Teams at the LinkedIn Corporation. Additionally he has held a number of roles at Skype, PayPal, and eBay. He is known for co-coining the term Data Scientist. As a member of the faculty at the University of Maryland, his research focused on nonlinear dynamics and chaos theory and he helped start a major research initiative on numerical weather prediction. As an AAAS Science & Technology Policy Fellow for the Department of Defense, Dr. Patil directed new efforts to leverage social network analysis and the melding of computational and social sciences to anticipate emerging threats to the US. He has also co-chaired a major review of US efforts to prevent bioweapons proliferation in Central Asia and co-founded the Iraqi Virtual Science Library (IVSL). In 2104 he was selected by the World Economic Forum as a Young Global Leader. More details can be found on his LinkedIn profile: http://www.linkedin.com/in/dpatil and can be followed on twitter @dpatil.

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