Brian Aronson is a principal-level applied data scientist and machine learning systems builder with a decade of experience turning messy real-world data into production AI products and strategy. As Head of Data Science on a founding team, he now designs end-to-end architectures from ETL through vector retrieval and aligns ML roadmaps with executive priorities for rPotential’s workforce-intelligence platform. Previously at The Adecco Group he shipped core recruiter tools and led an MLOps adoption that standardized experimentation and deployment across regions. His academic background (PhD in Sociology) and postdoctoral work on causal inference and opioid-risk modeling inform a rigorous, evidence-driven approach to product problems. Beyond product delivery he’s published open-source R packages and taught reproducible analytics, blending research-grade methods with pragmatic engineering.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Sociology, Doctor of Philosophy - PhD Sociology at Duke University
Bachelor's degree Sociology, Bachelor's degree Sociology at Stony Brook University
Study identifying how differences in household finances mediate black-white health disparities.. Uses data from the Panel Study of Income Dynamics (PSID).
Contributions:2 PRs, 21 pushes, 2 branches in 1 month
statisticspythonpsidhealthdifferences
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Brian Aronson - Head Of Data Science (Founding Team)