M Owen is a Senior Data Science Manager in New York with nine years of experience turning analytics into measurable product and revenue impact for consumer-facing businesses. At Hinge he leads data science teams driving product decisions, and previously at MLB built recommendation engines and scoring systems that multiplied targeting audiences, reduced churn, and generated an estimated $14M in revenue. Trained as a quantitative ecologist (PhD-level) he blends rigorous experimental thinking and statistical modeling with practical productionization of ML pipelines and business-facing metrics. He has a track record of mentoring, cross-functional collaboration with commercial partners, and translating complex models into actionable insights for stakeholders. An unexpected strength is his ecology background, which informed novel approaches to behavioral modeling and experimental design that scale to digital products.
9 years of coding experience
5 years of employment as a software developer
Master's Degree, Ecology, Evolution, and Behavioral Biology, Master's Degree, Ecology, Evolution, and Behavioral Biology at The Graduate Center, City University of New York
Master's Degree, Ecology, Evolution, and Behavioral Biology, Master's Degree, Ecology, Evolution, and Behavioral Biology at Purdue University
Bachelor's Degree, Biology/Biological Sciences, General, Bachelor's Degree, Biology/Biological Sciences, General at Northern Illinois University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.