Summary
Jason Pinost is a data science leader with 12+ years building analytics functions and high-impact teams at Atlassian, Google, and Meta, currently leading Data Science for Search, Chat, and third-party content. He specializes in translating ambiguous product problems into rigorous measurement, experimentation, and AI-native workflows that shift team leverage toward strategic product outcomes. His experience spans consumer-scale search and mobile apps, creator and media surfaces, trust-and-safety, People analytics, and early-stage social VR—often creating measurement practices from scratch. Jason’s career began building analytics at Catalist for national political campaigns, a thread that runs through his aptitude for founding disciplined data functions in new domains. Based in Berkeley, he focuses now on redesigning tooling and processes so data scientists can pair with generative AI to accelerate insight-to-product loops.
12 years of coding experience
7 years of employment as a software developer
Master of Information Management and Systems, Master of Information Management and Systems at UC Berkeley School of Information
BA Economics and Government, BA Economics and Government at Georgetown University