Lyft
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.
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Lyft
757 followers
Lyft was founded in 2012 by Logan Green and John Zimmer to improve people’s lives with the world’s best transportation, and is available to approximately 95 percent of the United States population as well as select cities in Canada. Lyft is committed to effecting positive change for our cities by offsetting carbon emissions from all rides, and by promoting transportation equity through shared rides, bikeshare systems, electric scooters, and public transit partnerships.