Summary
George Hayward is a Senior Data Scientist in New York with seven years of experience building ML-driven product analytics and customer LTV systems at Calm, Meta, Google, HeadsUp, and his own consultancy. He combines hands-on engineering—shipping iOS and web apps like Sound Recipe and Setlist2Playlist—with rigorous experimentation, causal inference, and production ML (XGBoost, Docker, BigQuery, dbt) to recover revenue and inform multi-million-dollar marketing decisions. A promoted Meta senior hire whose work was incorporated into Facebook’s Python training, he also authored extensive LTV documentation and built anomaly- and churn-detection systems used across teams. Outside tech he’s a practicing attorney and pro bono advocate who has won appellate housing cases and preserved a Brooklyn business, and he mentors junior data scientists with a focus on supporting people of color. His unusual mix of comedy, ministry, law, finance, and data science gives him a rare ability to translate technical insights into persuasive narratives for product and legal stakeholders.
7 years of coding experience
6 years of employment as a software developer
JD/MBA Stanford Law Review Vol. 69 (nice), JD/MBA Stanford Law Review Vol. 69 (nice) at Stanford Law School
Valedictorian, Valedictorian at Resurrection Grammar School
JD/MBA Certificate in Public Management and Social Innovation, JD/MBA Certificate in Public Management and Social Innovation at Stanford University Graduate School of Business
University of Cambridge
Phillips Exeter Academy
A.B. Government, A.B. Government at Harvard University