Summary
Matt Brems is a Chief Data Scientist and educator with nine years of hands-on experience building data-driven solutions across politics, finance, CPG, and education, and four years leading his own consultancy, BetaVector. He blends technical depth in statistics and machine learning with an operational focus on efficiency and product enablement, having held roles from Principal Data Scientist at DataRobot to Director of Developer Relations at Domino Data Lab. As a teacher and mentor he has trained over 1,000 career-switching students at General Assembly and now shapes AI instruction at Caltech CTME and Break Through Tech, reflecting a rare mix of classroom pedagogy and enterprise impact. Matt also leads the 2,500-person nonprofit Statistics Without Borders as Chair, applying data skills to global social good and organizational strategy. Colleagues rely on him for translating ambiguous problems into precise, actionable analytics while intentionally developing the next generation of data leaders.
9 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree Pure Mathematics Applied Mathematics Quantitative Analysis Economics (Political Science Minor), Bachelor’s Degree Pure Mathematics Applied Mathematics Quantitative Analysis Economics (Political Science Minor) at Franklin College
Oak Hills High School
Master of Science (M.S.) Statistics, Master of Science (M.S.) Statistics at The Ohio State University
French, English, German