Summary
James Pooley is a Data Scientist in New York with 11 years of experience spanning data analysis, engineering, and machine learning across academia, non-profits, and ad tech. He has productionized models and tooling at scale—migrating legacy lookalike models and automating brand-affinity pipelines on Databricks—and led company-wide Python and R training programs. His background in cognitive science and neuroimaging gives him an uncommon strength in probabilistic thinking and complex experimental design, applied to business problems like media mix modeling and KPI projection. Comfortable in cloud and containerized environments (AWS, Docker) and fluent in both R and Python, he bridges research-grade analysis and production systems to turn messy data into actionable insights.
11 years of coding experience
6 years of employment as a software developer
AWS Data Warehouse Training
Ph.D., Cognitive Science, Ph.D., Cognitive Science at University of California, Irvine
Graduate Summer School: Probabilistic Models of Cognition, Graduate Summer School: Probabilistic Models of Cognition at IPAM (Institute for Pure and Applied Mathematics) at UCLA
Neurohackweek, Neurohackweek at University of Washington eScience Institute.
B.S., Psychology (Linguistics Minor), B.S., Psychology (Linguistics Minor) at The Ohio State University