Summary
Kaylin Pavlik is a Director of Data Science with 11 years of experience building analytics and decisioning systems across fintech and healthcare, currently leading data science at Extend. She combines strong statistical foundations (M.S. Applied Statistics) with practical engineering skills in R, Python, SQL and modern data stack tools like Snowflake, Redshift, dbt and Airflow to drive pricing, risk, and commercial insights. Kaylin has progressed from hands-on data science and analytics roles into leadership positions, repeatedly scaling teams and productionizing models for pricing and fraud decisioning. Based in Minneapolis with extensive experience in the Bay Area, she pairs methodical hypothesis-driven experimentation with storytelling and visualization to influence cross-functional strategy. A lifelong learner, she blends classification, clustering and text-mining expertise with a product-minded approach to turn complex data into actionable business outcomes.
11 years of coding experience
3 years of employment as a software developer
B.A. Psychology, B.A. Psychology at Boston College
M.S. Applied Statistics, M.S. Applied Statistics at North Dakota State University