Nathaniel Haines
Senior Manager Data Science @ Oscar Health
About
I am a data scientist with a PhD from The Ohio State University, specializing in generative modeling, behavioral economics, and software development. My work spans both health-tech and fin-/insur-tech, where I’ve led teams to: (1) develop and deploy generative/ML models for web and mobile platforms; (2) design studies and publish academic research across fields including behavioral and actuarial science; and (3) build internal and open-source tools to help make doing day-to-day analytics work a more delightful—and less error prone—experience. With 20+ peer-reviewed publications and contributions to open-source software, I can be academic when rigor is needed, but also practical when it comes to tight deadlines and execution uncertainty. TLDR; I have expertise in leading teams and building analytics tools across diverse industries. My skillset allows for me to make informed decisions even when faced with incomplete or uncertain data. I also really enjoy the work I do—reach out if you are ever interested in chatting about it!
United States
Columbus
Research
Artificial Intelligence (AI), Large Language Models (LLM), Clinical Data, Statistical Learning, Insurance Industry, Git, Amazon Web Services (AWS), Scientific Background, Research Skills, Unstructured Data, Storytelling, Executive Presentations, Domain Experience, Applied Mathematics, Product Strategy, Product Analytics, Validation Reports, Stochastic Processes, Modeler, User Behavior
Experience

Manager, Data Science Research
New York City Metropolitan Area
Led a team that researched and productionized novel loss ratio development, forecasting, and deal optimization models (+ analytics tooling) for insurance linked securities in the property and casualty space

Owner | Chief Bayesian
Bayesian Beginnings LLC
Columbus, Ohio Metropolitan Area
Ran a data science consulting firm specializing in risk/uncertainty quantification, generative modeling, and behavioral economics

Graduate Research Scientist
Led international R&D projects from inception to scientific publication; developed open source software to simplify hierarchical Bayesian modeling of reinforcement learning and decision-making making tasks across psychology, behavioral economics, and neuroscience (hBayesDM); and designed and taught courses/seminars in psychology and statistics
Nathaniel Haines's Contact Information
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