Alexander Weinstein
Staff Data Scientist, Machine Learning
United States
Summary
👤
Senior🎓
Top SchoolAlexander Weinstein is a Staff Data Scientist in machine learning with a PhD in Operations Research and a decade of experience applying optimization, ML, and statistics across transportation, healthcare, e-commerce, and supply chain. He designs mathematical models and analytic tools that power algorithmic decision-making and product improvements at scale, currently doing this work at DoorDash after senior roles at Lyft and Zillow. His research background—collaborating with leaders like Professors Bertsimas and Simchi‑Levi—brings rigor in dynamic pricing, personalized medicine, and revenue forecasting to industry problems. Comfortable moving from theory to production, he has a track record of translating nonlinear dynamic programming and online learning into business impact. A lifelong learner and educator, he’s taught MBA analytics courses at MIT Sloan and maintains an active publication record. Notably, his career blends hands-on fulfillment and personnel optimization experience with clinically oriented decision models, reflecting a rare intersection of public‑good impact and commercial scale.
10 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Operations Research, Doctor of Philosophy (Ph.D.), Operations Research at Massachusetts Institute of TechnologyThe Roxbury Latin SchoolB.A., Economics, American Studies, B.A., Economics, American Studies at Yale University
french (beginner), latin (advanced)
Github Skills (6)
ansible-collections7
crossword7
azerothcore7
database-access5
orientdb5
operations-research4
Programming languages (1)
Github contributions (1)
joehuchette/OR-software-tools-2016
Dec 2015 - Jan 2016
Repository for the MIT course 15.S60 "Software Tools for Operations Research"
Contributions:22 commits, 21 pushes in 28 days
crosswordazerothcoredatabase-accesssoftware-toolsorientdb
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