Summary
Samuel Crane is a data science manager with 13 years of experience building product-focused analytics and predictive models, currently leading personalization datasets at Meta. He combines a Ph.D. in biology with deep technical chops in Bayesian statistics, machine learning, reproducible research, and analytics engineering to drive measurement frameworks, automated reporting, and robust data pipelines across consumer products. Samuel has a track record of scaling teams and processes—hiring and mentoring senior data scientists, establishing on-call and SEV protocols, and consolidating classification systems to improve labeling and model efficiency. He’s equally comfortable in SQL, R, and Python and has shipped data platforms leveraging Snowflake, Presto, and AWS to support rapid experimentation and DAU growth. Known for empathy and curiosity, he also translates complex analytics into company-wide data literacy programs and operational practices that embed learning into product development.
12 years of coding experience
12 years of employment as a software developer
B.Sc. Ecology and Evolutionary Biology, B.Sc. Ecology and Evolutionary Biology at University of Washington
Doctor of Philosophy (Ph.D.) Ecology Evolution Systematics and Population Biology, Doctor of Philosophy (Ph.D.) Ecology Evolution Systematics and Population Biology at The Graduate Center, City University of New York