Summary
Stephen Martin is a Senior Data Science Manager with 12 years of experience building and productionizing bespoke probabilistic and statistical models for measurement and analytics, currently leading innovation research at Comscore. He blends deep Bayesian and psychometric expertise with practical engineering—debugging legacy Scala/Python codebases, shipping R and Stan packages, and deploying internal tools like locally hosted LLMs with RAG and Shiny apps to democratize analytics. His work spans measurement error correction, data fusion, hierarchical embeddings, and novel ML+Bayesian hybrids for web traffic and ad-tech attribution in a post-cookie world. Known as a "Bayesian nerd" on GitHub, he pairs rigorous research (UC Davis postdoc in quantitative methods) with clear communication to turn complex inference into actionable client solutions. An uncommon strength is his knack for finding and fixing decades-old bugs and transforming them into automated, maintainable workflows that raise team productivity.
12 years of coding experience
5 years of employment as a software developer
Postdoc Psychometrics and Quantitative Psychology, Postdoc Psychometrics and Quantitative Psychology at University of California, Davis
Master’s Degree Psychology, Master’s Degree Psychology at Wake Forest University
Bachelor’s Degree Psychology, Bachelor’s Degree Psychology at Furman University
Doctor of Philosophy (Ph.D.) Social Psychology, Doctor of Philosophy (Ph.D.) Social Psychology at Baylor University