Evan Magnusson is a Staff Data Scientist at YouTube with a PhD in economics from Stanford and 12 years of applied research and data science experience across Google, Coursera, Wayfair, and academia. He specializes in causal inference for impact measurement—running experiments and sophisticated observational methods (fuzzy RDDs with causal forests, matching, double ML) to inform product and business decisions at scale. Evan has a track record of translating technical results for director and VP audiences, training teams in causal methods, and building open-source tools (author of a Python RDD package) that bridge research and production. His work blends econometric rigor with practical forecasting and ML, and he has published peer-reviewed research and taught statistics in industry certification courses. Based in San Francisco, he’s known for accelerating analysis pipelines (e.g., orders-of-magnitude compute optimizations in research) and steering incrementality reviews across large organizations.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.) Economics and Mathematics, Bachelor of Arts (B.A.) Economics and Mathematics at Brigham Young University
High School Diploma, High School Diploma at Oak Ridge High School
Doctor of Philosophy (PhD) Economics, Doctor of Philosophy (PhD) Economics at Stanford University
Contributions:25 commits, 1 PR, 23 pushes in 11 months
regressionpolarspythondesignspython-tools
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.