Summary
Siyuan Zhou is a Staff Data Scientist with nine years of experience building end-to-end ML solutions for fraud and credit risk at large tech and fintech firms, currently leading data science efforts at Walmart Global Tech. He combines a Ph.D. in Biostatistics with strong economics intuition to design robust statistical models, production pipelines, and real-time risk controls in Big Data environments. Siyuan has a track record of shipping productionized predictive and NLP models, feature infrastructure, and automated monitoring to reduce fraud loss and operational friction. Comfortable across Hadoop, relational databases, and Unix systems, he pairs deep theoretical knowledge (nonlinear mixed effects, bias-variance tradeoffs) with hands-on engineering and cross-functional leadership. A disciplined communicator and independent problem-solver, he brings academic rigor to pragmatic, business-impacting solutions and a reflective mindset evident in his concise GitHub motto.
9 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Statistics, Economics, Bachelor's degree, Statistics, Economics at University of California, Davis
Doctor of Philosophy (Ph.D.), Biostatistics, Doctor of Philosophy (Ph.D.), Biostatistics at UC Davis