Summary
Sean Fischer is a data scientist and manager of Baseball Analytics for the Cincinnati Reds, blending hands-on coding with team leadership to drive player valuation and advance scouting. He brings 11 years of experience applying causal inference, experimental design, and machine learning to real-world problems across sports and public health. Before baseball, he led evaluation models and automated quality assurance for an HHS COVID-19 media campaign at Fors Marsh Group, translating messy media data into actionable impact estimates. Trained as a computational social scientist with a PhD from UPenn Annenberg, his research spans political polarization, media economics, and digital-platform behavior, giving him unusual depth in audience and behavioral data. Comfortable processing and merging large, heterogeneous datasets, he routinely turns descriptive insight into causal recommendations that inform operations. Outside typical analytics work, he combines humanities training in English with rigorous quantitative methods, a background that sharpens both his storytelling and model interpretation.
11 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, English Literature and Mathematics, Senior, Bachelor’s Degree, English Literature and Mathematics, Senior at SUNY Geneseo
Doctor of Philosophy (Ph.D.), Communication, Doctor of Philosophy (Ph.D.), Communication at University of Pennsylvania
English