Scott Huber is a Lead Data Scientist in telematics with nine years of experience applying physics-trained rigor to large, noisy datasets to extract actionable insights for insurance products. With a Ph.D. in physics from Ohio State, he transitioned from experimental biophysics—where he built particle-tracking pipelines, applied machine learning to validate events, and visualized gigabyte-scale time series—to production telematics models that assess driving skill from mobile sensors. At Root he has progressed from Data Scientist to Lead, blending scientific hypothesis testing, robust code optimization, and pragmatic product thinking to lower premiums for safer drivers. Known for translating complex microscopy and simulation workflows into scalable data pipelines, he pairs deep analytic instincts with hands-on programming and clear data storytelling.
9 years of coding experience
5 years of employment as a software developer
University of Illinois Urbana-Champaign
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at The Ohio State University
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