Summary
Qian Chen is a Staff Data Scientist based in San Francisco with eight years of experience applying statistical modeling, machine learning, deep learning, and reinforcement learning across finance, healthcare, media, and gaming. She has progressed from academic research at Columbia University to industry roles at Deutsche Bank, Uber, Upstart, and Tencent Games, shipping production ML for AML compliance, driver incentives, auto-loan underwriting, and game experimentation. Proficient in Python, R, and SQL, she combines rigorous statistical training with product-focused deployment, often working at the intersection of experimentation and personalization. A double major in Economics and Mathematics from Wuhan University with a Columbia MS in Statistics, she brings a rare blend of domain fluency and hands-on engineering that helps translate complex models into measurable business impact.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree Double Major: Economics & Mathematics, Bachelor's degree Double Major: Economics & Mathematics at Wuhan University
Master's Degree Statistics, Master's Degree Statistics at Columbia University
Chinese, English