Summary
Sam Weiss is a Staff Machine Learning Engineer in Los Angeles with 11 years of experience building production ML systems across health tech, consumer analytics, and finance. He has progressed from data scientist roles at Signals Intelligence and TransUnion to senior and staff ML positions at Ibotta, leading data science at Twin Health, and now shaping ML at Pomelo Care. Sam combines rigorous statistical training from Cornell and Carnegie Mellon with hands-on engineering—designing time-series detection, large-scale consumer-sentiment pipelines, and automated analyst tooling. He’s comfortable translating messy real-world signals into deployable models that inform product and business decisions, and has a track record of driving technical leadership in cross-functional teams. Notably, his background includes applied R&D and practical automation that repeatedly turned analytic insights into operational impact.
11 years of coding experience
11 years of employment as a software developer
Master of Professional Science Statistics, Master of Professional Science Statistics at Cornell University
Bachelor of Science Economics and Statistics, Bachelor of Science Economics and Statistics at Carnegie Mellon University
Hong Kong University of Science and Technology (HKUST)