Summary
Scott Gorlin is a data science leader and machine learning specialist with 11+ years building deployable algorithms and production-grade ML systems across insurance, adtech, and research environments. Currently VP of Data Science at Gradient AI after senior leadership roles at Liberty Mutual where he led Trusted AI, tooling, and cross-organizational standards, he combines hands-on modeling with governance and platform strategy. His background includes directing applied science at Solaria Labs, head of research at ChoiceStream, and a PhD in Computational and Systems Neuroscience from MIT, which informs a rigorous, experiment-driven approach to complex problems. He also teaches advanced Python for data science, reflecting a commitment to developer education and reproducible practices. Notably, he blends deep academic training with a track record of shipping tactical, auditable algorithms that move from research into enterprise production.
11 years of coding experience
5 years of employment as a software developer
PhD, Computational and Systems Neuroscience, PhD, Computational and Systems Neuroscience at Massachusetts Institute of Technology
BA, Biology with a specialization in Neuroscience, BA, Biology with a specialization in Neuroscience at Boston University
Chinese