Samuel Liebman
Vice President at Morgan Stanley
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolSamuel Liebman is a data scientist and machine learning engineer with eight years of experience applying Python, SQL, and statistical modeling to drive business decisions across finance, sports, and healthcare. Currently a Vice President at Morgan Stanley after progressing from analyst and associate roles, he blends back-end engineering, ETL, and applied ML (Scikit-learn, Pandas, NLP) to deliver production-ready analytics. His economics background from Johns Hopkins informs rigorous causal and regression analysis, while prior roles at MLB and Flatiron School reveal a knack for translating complex data into actionable insights for product and operations. Comfortable in both startup and institutional settings, he pairs domain fluency in finance and sports with hands-on tooling expertise to reduce friction between data science and engineering teams.
8 years of coding experience
5 years of employment as a software developer
Johns Hopkins UniversityData Science, Data Science at Flatiron SchoolBoston University Sydney
English, Hebrew
Github Skills (3)
aws-lambda6
lambda6
aws6
Programming languages (5)
Github contributions (5)
slieb74/NFL-Betting-Data
Aug 2018 - Oct 2018
Contributions:30 commits, 27 pushes, 1 branch in 2 months
slieb74/dsc-3-27-07-evaluation-metrics-nyc-career-ds-062518
Jun 2019 - Jul 2019
Contributions:408 pushes, 1 branch in 4 days
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