Summary
Jonathan Waring is a Lead Analyst in the Boston Red Sox front office with nine years of applied analytics experience, specializing in statistical modeling for player evaluation and strategic decision-making. He blends elite sports analytics with a rigorous academic foundation as an M.S. candidate in Health Data Science at Harvard T.H. Chan School of Public Health, bringing crossover expertise from clinical NLP and AutoML. Prior to baseball, he led Text AI work at Dana-Farber, deploying NLP and AutoML models that supported research and clinical operations and authored a highly cited review on AutoML. Jonathan is comfortable translating complex models into clear visuals and written reports for leadership, and he has a track record of building production-ready analytics pipelines. His background includes ecological and infectious disease modeling, demonstrating a deep quantitative curiosity that informs creative approaches to baseball problems. Based in Boston, he combines domain knowledge, robust ML/NLP experience, and practical deployment skills to drive decision science in professional sports.
9 years of coding experience
3 years of employment as a software developer
University of Georgia
Master of Science (M.S.), Health Data Science, Master of Science (M.S.), Health Data Science at Harvard T.H. Chan School of Public Health