Brenton Keller is an Associate Director of Data Science with 15 years of experience applying rigorous statistical modeling and machine learning—grounded in a PhD in Neuroscience—to solve product, pricing, and audience problems at scale. He builds production ML systems and experimentation frameworks (Databricks, MLflow, PySpark) that optimize pricing, inventory, and ad ROI for major consumer brands, and has replaced vendor tooling with custom NLP and Bayesian audience intelligence pipelines. Comfortable translating complex models into executive-ready dashboards and repeatable, pip-installable tooling, he blends research-grade reproducibility with pragmatic business impact. His background in multi-site neuroimaging research informs a strong emphasis on data harmonization, interpretability (SHAP/posterior inference), and rigorous causal methods. Colocated in New York, he’s as fluent in big-data engineering and cloud migrations as he is in designing experiments that quantify incremental lift.
15 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at University of Southern California
Contributions:1 release, 180 commits, 7 pushes in 4 years 8 months
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