Jennifer Chunn is a data scientist with 15+ years of experience and a strong track record translating complex statistical methods into actionable business insights across ads, ecommerce, and academic settings. She currently focuses on ads experimentation at Netflix after leading experimentation and measurement initiatives at Reddit and Zillow, where she scaled AB testing frameworks and self-service tooling to support hundreds of experiments annually. A seasoned educator—formerly an adjunct professor and lecturer at Seattle University—she combines rigorous academic training (M.S. Statistics, Univ. of Washington) with practical execution, having driven measurable lifts like a 10-point increase in sign-ins and created forecasting and return-prediction models with strong accuracy. Comfortable presenting to executives and mentoring teams, she also brings domain breadth from global Bayesian population forecasting to building data governance and developer workflows. Notably, her work has influenced UN population projections and earned high teaching approval ratings across 600 students.
10 years of coding experience
14 years of employment as a software developer
Master of Science (M.S.) Statistics, Master of Science (M.S.) Statistics at University of Washington
Bachelor's degree Magna Cum Laude Biometry and Statistics, Bachelor's degree Magna Cum Laude Biometry and Statistics at Cornell University
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