Stephen Martin
Senior Data Science Manager
Davis, California, United States
Summary
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Senior🎓
Top SchoolStephen 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, DavisMaster’s Degree Psychology, Master’s Degree Psychology at Wake Forest UniversityBachelor’s Degree Psychology, Bachelor’s Degree Psychology at Furman UniversityDoctor of Philosophy (Ph.D.) Social Psychology, Doctor of Philosophy (Ph.D.) Social Psychology at Baylor University
Github Skills (135)
proton10
bayesian-data-analysis10
cpp10
spss10
mistral10
golang10
stan10
ollama10
steam10
r-package10
llama10
bayesian10
go10
statistical-models10
git-mirror10
Programming languages (12)
Github contributions (5)
stephensrmmartin/LMMELSM
Jul 2020 - May 2025
R Package for fitting latent multivariate mixed effects location scale models.
Contributions:1 review, 1 PR, 56 pushes in 4 years 10 months
r-packagebayesianmixed-effectsmultilevel-modelsstan
stephensrmmartin/MIRES
Feb 2021 - May 2025
R package for Bayesian measurement invariance assessment using mixed effects and shrinkage.
Contributions:1 release, 1 PR, 32 pushes in 4 years 3 months
bayesianrr-packagemeasurement-invariancemixed-effects
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