Sep 23–26, 2019
Aaron Owen

Aaron Owen
Data Scientist, Major League Baseball

Aaron Owen is a data scientist at Major League Baseball, where he leverages his skills to solve business problems for the organization and its 30 teams. Aaron holds an MS and PhD in evolutionary biology and was previously a professor at both the City University of New York and New York University.

Sessions

5:25pm6:05pm Wednesday, September 25, 2019
Location: 1A 08/10
Secondary topics:  Media and Advertising
Aaron Owen (Major League Baseball), Matthew Horton (Major League Baseball), Josh Hamilton (Major League Baseball)
Using SAS, Python, and AWS SageMaker, Major League Baseball's (MLB's) data science team outlines how it predicts ticket purchasers’ likelihood to purchase again, evaluates prospective season schedules, estimates customer lifetime value, optimizes promotion schedules, quantifies the strength of fan avidity, and monitors the health of monthly subscriptions to its game-streaming service. Read more.

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