Summary
Jimmy Charité is a Staff Data Scientist in New York with a decade of experience building large-scale experimentation, forecasting, and ML systems that translate into measurable business impact. He has led causal inference and demand-forecasting efforts at Google that yielded $40M in annualized savings and redesigned operational forecasting to improve transparency, and at Transfix delivered models that influenced $12M/month in business and doubled revenue growth. His work spans consumer product safety (reducing harmful content exposure for 100M teens at Instagram), ML infrastructure and productivity improvements, and public policy research—giving him a distinctive lens on responsible AI and institutional consequences. Known for turning complex econometric and causal problems into operationalized systems, he combines rigorous statistical thinking with cross-functional leadership and a track record of measurable outcomes.
10 years of coding experience
14 years of employment as a software developer
Bachelor of Arts, Honors, Economics and Mathematical Statistics, Bachelor of Arts, Honors, Economics and Mathematical Statistics at Swarthmore College
Haitian Creole