Boundless Rider
Scott Frye is a seasoned data science professional with extensive experience in machine learning and software development. Currently, Scott works as a Data Scientist at Boundless Rider since August 2022 and has been a self-employed stock trader since May 2021, utilizing neural networks and other analytics for market predictions. Prior experience includes roles as Senior Data Scientist at Agero, where Scott developed predictive machine learning models, and Senior Director of Clinical Informatics at Analgesic Solutions, leading software development for a statistical monitoring system in clinical trials. Additional positions span various leadership and technical roles in organizations such as Microsoft, Clintara, AlphaSimplex, Wyman Gordon, and Checkerboard. Scott holds a Master’s degree in Computer Science from the University of Massachusetts Lowell and a Bachelor’s degree in Computer Science from Worcester State University.
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Boundless Rider
Boundless Rider is committed to bringing product innovation, rider centricity, and excellence in claims to users of speciality vehicles.