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Given the importance of data to critical decision making, the demand for Data Scientists is at an all time high. Yet, what does it really mean to be a Data Scientist and to build a team of Data Scientists? It’s a new world with startups to well established organizations struggling daily to recruit and structure their teams to best leverage those that can extract valuable insights from data. Unfortunately most organizations don’t realize all the places where a good Data Science Team can make an impact. In this talk we’ll walk through different organizational structures, how to empower, and key technologies required to establish a great Data Science team.
Dr. DJ Patil joined the White House Office of Science and Technology Policy in February 2015, when he was named by the White House as Chief Data Scientist and Deputy Chief Technology Officer for Data Policy. DJ advises on policies and practices to maintain U.S. leadership in technology and innovation, fosters partnerships to maximize the Nation’s return on its investment in data, and helps to attract and retain the best minds in data science to serve the public.
Since joining OSTP, DJ has collaborated with colleagues across government, including the Chief Information Officer and the U.S. Digital Service as part of the Administration’s commitment to open data and data science. He is leading data science efforts related to the Precision Medicine Initiative, which focuses on utilizing advances in data and health care to provide clinicians with new tools, knowledge, and therapies to select which treatments will work best for which patients, while protecting patient privacy.
DJ joins the White House following an incredible career as a data scientist — a term he helped coin — in the public and private sectors, and in academia. Most recently, he served as the Vice President of Product at RelateIQ, which was acquired by Salesforce. DJ also previously held positions at LinkedIn, Greylock Partners, and eBay Inc, where he oversaw initiatives at eBay, PayPal, and Skype.
Prior to his work in the private sector, DJ was an American Association for the Advancement of Science (AAAS) Science & Technology Policy Fellow for the Department of Defense, where he directed new efforts to bridge computational and social sciences in fields like social network analysis to help anticipate emerging threats to the United States.
As a doctoral student and faculty member at the University of Maryland, DJ used open datasets published by the National Oceanic and Atmospheric Administration (NOAA) to make major improvements in numerical weather forecasting. He holds a bachelor’s degree in mathematics from the University of California, San Diego, and a PhD in applied mathematics from the University of Maryland College Park. DJ has also authored a number of influential articles and books explaining the important current and potential applications of data science. In 2014, the World Economic Forum named DJ as a Young Global Leader.
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