Jay Kim
Summary
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SeniorJay Kim is a Senior Data Scientist based in the New York City area with 8 years of experience turning large-scale data into actionable business decisions. He has driven causal inference and incrementality measurement for ad campaigns, optimized production pipelines by 10x–40x, and scaled models to orders-of-magnitude larger datasets while training teams on Spark and AWS EMR. His background in biology and quantitative economics informs a cross-disciplinary approach to modeling and experimental design, from mesoscopic simulations in academic research to production ML for Fortune 100 clients. Jay combines practical engineering—automation, feature pipelines, and performance tuning—with a researcher’s curiosity, routinely adapting published methods to real-world constraints. His career reflects a balance of client-facing impact, technical leadership, and a habit of finding commonalities across domains to unlock new insights.
9 years of coding experienceGithub contributions (3)
jaypkim/Evolution-of-Complexity-In-Chemoton-Model
Jul 2017 - Jul 2017
Contributions:16 commits, 13 pushes, 1 branch in 1 day
jaypkim/Statistical-Projects
Jul 2017 - Aug 2017
Contributions:42 pushes, 3 branches in 1 month
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