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David Landy
Content Data Science @ Netflix
David Landy is currently a Data Science Manager at Netflix, a position he has held since October 2022. In this role, he oversees a team of data scientists, analytics engineers, and machine learning scientists, focusing on providing insights related to Netflix's content and user engagement. His responsibilities include designing and analyzing experiments, communicating results to various stakeholders, and constructing mathematical models to understand user interactions with Netflix content.13
Educational Background and Career Path
David earned his Ph.D. in Cognitive Science and Computer Science from Indiana University Bloomington in 2007. He has a rich academic background, having served as an Adjunct Associate Professor at Indiana University and previously as an assistant professor at the University of Richmond. His academic work primarily revolved around psychological and cognitive sciences, particularly in understanding mathematical learning.24
Before joining Netflix full-time in 2018, Landy co-founded Graspable Math, an educational technology startup aimed at improving mathematical learning through innovative tools. His transition to Netflix was somewhat serendipitous; he was encouraged to apply for the role after networking with industry professionals during academic conferences.45
Contributions at Netflix
At Netflix, Landy applies his expertise in data science to enhance user experience by analyzing data generated from user interactions with the platform. This involves using advanced statistical methods and creating analytics dashboards that help inform product decisions.14 His work reflects a blend of academic rigor and practical application, showcasing how skills developed in academia can translate effectively into industry roles.
In summary, David Landy exemplifies the intersection of academia and industry, leveraging his extensive background in cognitive science to drive data-driven insights at one of the leading entertainment companies in the world.