Data scientists are hard to hire. But too often, companies struggle to find the right talent only to make avoidable mistakes that cause their best data scientists to leave. From organizational structure and leadership considerations to tooling and infrastructure to avoiding FOMO through continuing education, Michelangelo D’Agostino shares concrete (and inexpensive) tips for keeping your data scientists engaged, productive, and performing their best for your business.
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Michelangelo D’Agostino is the vice president of data science and engineering at ShopRunner, where he leads a team that develops statistical models and writes software that leverages their unique cross-retailer ecommerce dataset. Previously, Michelangelo led the data science R&D team at Civis Analytics, a Chicago-based data science software and consulting company that spun out of the 2012 Obama reelection campaign, and was a senior analyst in digital analytics with the 2012 Obama reelection campaign, where he helped to optimize the campaign’s email fundraising juggernaut and analyzed social media data. Michelangelo has been a mentor with the Data Science for Social Good Fellowship. He holds a PhD in particle astrophysics from UC Berkeley and got his start in analytics sifting through neutrino data from the IceCube experiment. Accordingly, he spent two glorious months at the South Pole, where he slept in a tent salvaged from the Korean War and enjoyed the twice-weekly shower rationing. He’s also written about science and technology for the Economist.
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Comments
The slides should be uploaded now.
Hi, Michelangelo:
Great session, really enjoyed it. Did not see the slides w/ the rest of the sessions shared today and am hoping to receive a copy.
Best regards,
Loretta Ibanez
Loretta_ibanez@freddiemac.com