Summary
Taylor Pellerin is a Senior Data Scientist with 8 years of experience using experimentation and machine learning to drive product personalization and acquisition efficiency across consumer apps and B2B clients. Currently at BetterSleep, Taylor focuses on in-app content personalization and UA optimization, building on prior roles applying ML research to help 80+ enterprise clients at Decile and running dozens of production experiments at Uber Eats. Their background blends a strong academic foundation (BS in CS & Math, MS in Data Science) with hands-on engineering—owning data pipelines, feature logic, and prototyping internal tooling. Notably comfortable translating research into business impact, Taylor has moved from fraud-detection proofs of concept to production personalization systems that measurably improve marketing and UX outcomes.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS), Double Major in Computer Science and Mathematics, Minor in Physics, Bachelor of Science (BS), Double Major in Computer Science and Mathematics, Minor in Physics at St. Lawrence University
Master of Science (MS), Data Science, Master of Science (MS), Data Science at University of San Francisco