Summary
Hetian Bai is a Senior Data Scientist based in New York with 8 years of experience applying causal inference, experimentation, and production ML to drive user growth and retention across consumer products. He has led data science efforts at Pinterest and Warner Bros. Discovery—building lifecycle models, uplift/causal systems, and long-term LTV measurement frameworks—and now focuses on Web3 product analytics at Coinbase. Trained with an MS in Data Science from NYU, he blends strong statistical rigor with engineering discipline to productionize models and self-service measurement tools. Hetian’s work spans recommendation systems, engagement forecasting, and targeted retention orchestration, often collaborating closely with product, UX, and marketing teams to translate insights into strategy. Notably, he has experience designing end-to-end pipelines and A/B testing infrastructures that emphasize long-horizon impact rather than short-term metrics. Colleagues describe him as a pragmatic scientist who pairs deep technical methods with a product-minded focus on measurable business outcomes.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at New York University
Bachelor of Science (B.S.) Mathematics and Statistics, Bachelor of Science (B.S.) Mathematics and Statistics at The Ohio State University
English, Chinese