Xin Wang

Xin Wang is a Senior Data Scientist with extensive experience in data analysis and statistical modeling, currently employed at Lyft since September 2024 and previously held similar roles at Motive and Lyft. Expertise includes media and incentive budget optimization through Reinforcement Learning and Causal Machine Learning, as well as media campaign measurement and causal inference. Xin Wang has a strong background in quantitative analysis from a position at Bank of the West focused on anomaly detection for Anti-Money Laundering compliance and credit risk modeling. Academic foundations include a Ph.D. in Statistics and a Master’s degree in Mathematics and Statistics from the University of Illinois Chicago, complemented by a Bachelor’s degree in Mathematics from Nankai University. Prior internships and roles included predictive analytics, safety statistics, and software engineering, showcasing a diverse skill set across various industries.