Summary
Tyler Haugseth is a data scientist with 11 years of experience applying analytics and machine learning across tech, financial services, and policy research. He led global marketing measurement at Meta, translating complex cross-functional questions into deployed ML pipelines and KPIs used by senior executives across brand, AI, subscriptions, and public affairs. Before Meta he combined policy rigor at RAND with decision science at USAA and operational leadership in the Air Force, bringing rare fluency between quantitative modeling and organizational strategy. Now at Anthropic, he continues to focus on scalable, production-ready analytics in high-stakes environments. Colleagues rely on him to bridge research-grade analysis and business impact, and to design measurement systems that survive real-world operational demands.
11 years of coding experience
Master of Philosophy Policy Analysis, Master of Philosophy Policy Analysis at RAND School of Public Policy
Bachelor of Science Biochemistry, Bachelor of Science Biochemistry at United States Air Force Academy
Japanese