Summary
Paul Sims is a Senior Data Scientist and Ph.D. trained econometrician with about a decade of experience turning noisy, real-world data into actionable product and business insights. He leads econometrics teams at Bliss Point Media, specializing in experimental design, multilevel longitudinal modeling, and A/B testing to guide product and customer decisions. Comfortable in R, Python, and SQL, Paul combines inferential statistics and predictive modeling—random forests, Monte Carlo simulation, dimensionality reduction—to both explain behavior and improve recommendations in production. His academic work produced high conditional R2 models and collaborative, grant-funded research, while applied projects include a deployed Streamlit recommender that dramatically outperformed random baselines. Based in Los Angeles, he seeks roles that balance technical rigor with cross-functional collaboration and continual learning.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Science - BS, Fisheries and Wildlife Management, GPA: 3.72, Magna cum laude, Bachelor of Science - BS, Fisheries and Wildlife Management, GPA: 3.72, Magna cum laude at Oregon State University
Doctor of Philosophy - PhD, Biology (Animal Behavior), GPA: 4.0, Doctor of Philosophy - PhD, Biology (Animal Behavior), GPA: 4.0 at McGill University