Summary
Sergey Maslennikov is a Senior Data Scientist with nine years of experience building ML-driven systems at scale, currently leading analytics and ranking for YouTube’s on-site promotion platform within Google. He combines a strong research background—PhD in Finance and MA in Physics—with hands-on product impact, having driven multi-objective optimization, LTV modeling, and calibration that materially increased subscription revenue and resolved executive-level tradeoffs. Previously at Uber Freight and Moody’s Analytics he delivered production pricing, forecasting, and risk-simulation systems that improved margins, automation, and new business lines. Sergey excels at translating complex experiments and causal inference into actionable objectives and metrics, and he’s known for cross-functional influence, frequent VP/CEO presentations, and numerous collaboration awards. He’s seeking an in-person research role in the Bay Area where he can flexibly set research agenda within a product-focused team. A less obvious strength: he pairs rigorous academic modeling with pragmatic production engineering—designing both the metric and the operational system to make research stick.
9 years of coding experience
5 years of employment as a software developer
PhD, Finance, PhD, Finance at The University of Texas at Austin
BS, Applied Math and Physics, BS, Applied Math and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)