Jack Norman is a data scientist and Baseball Operations Senior Analyst with 11 years of experience applying statistics, machine learning, and engineering to product and sports analytics. Trained with a BS in Statistics (CS emphasis) from UC Davis and an MS in Data Science from USF, he has driven data-driven decisions at Vida Health, Robinhood, and now the San Francisco Giants. His background spans production ML, ETL and graph databases (Neo4j), NLP-enhanced search, and instrumentation across mobile and web, enabling personalized recommendations and insights delivered at scale. At Vida he combined backend engineering and data science to build recommendation pipelines and analytics-driven customer messaging, and he’s brought that full-stack mindset into sports operations. Based in Oakland, he pairs a rigorous analytic toolkit with a genuine love of baseball and games like Scrabble, which informs a thoughtful, curiosity-driven approach to problem solving. Outside work he organizes team activities and enjoys music and programming, reflecting a balance of technical craft and community-building.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS), Statistics, Bachelor of Science (BS), Statistics at University of California, Davis
Masters, Data Science, Masters, Data Science at University of San Francisco
Contributions:96 commits, 4 PRs, 90 pushes in 1 month
pythonradarpredictradar-datarain
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