Stephen Bailey is an engineering manager and former data scientist with 11 years of experience building data platforms and leading teams at high-growth startups and marketplaces. Currently helping scale Whatnot’s data platform, he previously led data and analytics at Immuta where he made key architectural decisions and open-sourced multiple projects. His background spans neuroscience PhD research modeling the brain’s connectome to practical analytics work that transformed K–12 operations, giving him a rare blend of quantitative rigor and product-focused execution. Based in Columbus, Ohio, he’s comfortable moving between hands-on engineering, technical leadership, and clear technical writing—often producing the “technical jabberwocky” that clarifies complex systems.
11 years of coding experience
7 years of employment as a software developer
B.S., B.A., Chemistry, Philosophy, summa cum laude, B.S., B.A., Chemistry, Philosophy, summa cum laude at Samford University
Doctor of Philosophy (PhD), Neuroscience and Quantitative Methods, Doctor of Philosophy (PhD), Neuroscience and Quantitative Methods at Vanderbilt University
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