Jianjin Wang is a Senior Data Scientist based in the San Francisco Bay Area with 10 years of experience translating large, messy datasets into actionable business insight. Trained at Fudan and holding a 4.0 M.S. in Statistics from the University of Vermont, he blends rigorous experimental design and statistical methods with practical engineering—SQL, Python, AWS Redshift and Tableau—to drive retention and acquisition decisions. At REVOLVE he built automated ETL pipelines and interactive dashboards and ran A/B tests that informed marketing spend; at Uber he now applies those skills at scale. Comfortable across SAS/SUDAAN for public-health studies and modern cloud tooling, he uniquely bridges academic rigor and product-focused analytics. Colleagues know him for catching critical data quality issues early and for an approachable, metrics-driven style that turns complex analyses into clear actions.
10 years of coding experience
2 years of employment as a software developer
Master of Science (M.S.), Statistics, 4.0, Master of Science (M.S.), Statistics, 4.0 at University of Vermont
Bachelor of Science (BS), Information and Computing Science, Bachelor of Science (BS), Information and Computing Science at Fudan University
Contributions:49 commits, 26 pushes, 3 tags in 5 months
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