Data Science Management Fundamentals: My Perpetual Work-in-Progress
Data Science Management Fundamentals: My Perpetual Work-in-Progress

Abstract: 

Data Science as a professional discipline is still quite young. As such, much of the collective effort thus far has been dedicated to codifying the technical approaches to building data science tools and products. The long-term success of the discipline, however, will be highly dependent on our ability to manage teams and build career paths. In this talk, Drew will discuss three core components of data science management: recruiting and hiring processes; project definition and execution; and people management and performance reviews.

Bio: 

Drew Conway is a prominent data scientist, entrepreneur, author, and speaker. He’s built companies and has advised and consulted across many industries, ranging from fledgling startups to Fortune 100 companies, as well as academic institutions and government agencies at all levels. Drew is currently a Senior Vice-President at Two Sigma, where he is leading the development of several new initiatives at the firm. Drew also sits on several advisory boards.

Drew has spent the last decade working in the New York City technology community. He was most recently the founder + CEO at Alluvium until the company was acquired in January 2019. He notably co-founded DataKind (2011), a global non-profit of pro bono data scientists. Drew is a former senior advisor to the Mayor’s Office of Data Analytics for the City of New York, and he previously served as an advisor to Mortar Data (acquired by Datadog in 2015) and YHat (acquired by Alteryx in 2017). Drew holds a Ph.D. in Politics from New York University (2013) and a B.A. in Computer Science and Political Science from Hamilton College (2004).

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