Jason Hubbard is a Director of Data Science with a decade of experience turning behavioral and neuroimaging research rigor into business-impacting analytics and products. He progressed from hands-on experimental and computational research (PhD in Cognitive Neuroscience) to building and leading data science teams at Happy Money and now Zip Co, specializing in NLP, model-driven insights, and production-ready analytics. Jason combines deep expertise in Python/R pipelines, PostgreSQL-backed data engineering, and interactive visualizations with a track record of publishing and operationalizing complex experiments (EEG, fMRI, eye-tracking). He is as comfortable designing cognitive assessment software and teaching data science as he is scaling teams and embedding data into product decisions, and he often leverages experimental methods to surface non-obvious customer behavior signals.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Cognitive Neuroscience, Doctor of Philosophy (Ph.D.) Cognitive Neuroscience at University of Oregon
Master’s Degree Psychological Research, Master’s Degree Psychological Research at San Francisco State University
Bachelor’s Degree Cognitive Science, Bachelor’s Degree Cognitive Science at University of California, Berkeley
Contributions:24 commits, 19 pushes, 1 branch in 1 year 5 months
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