Matt Deland
Data Science
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMatt Deland is a data science leader with 12+ years of experience building and scaling analytics and ML teams to drive product, payments, risk, finance, and infrastructure decisions at Stripe. He progressed from founding a data-focused startup (Wagon) to leading large cross-functional data organizations—growing Payments Data Science from 4 to 30 and now overseeing a 120-person organization that spans Product, Technology, Risk, Finance, and Treasury. His background blends rigorous academic training (PhD in mathematics, former assistant professor) with hands-on ML engineering at Box and product-centered data science roles at Groupon and Hyperpublic. Known for turning complex business questions into predictive pipelines and operational insights, he balances deep quantitative expertise with pragmatic leadership and hiring momentum. An uncommon strength is his ability to move between pure research and productization, making academic-level math directly useful for high-scale, real-world decisioning.
12 years of coding experience
8 years of employment as a software developer
PhD, Mathematics, PhD, Mathematics at Columbia University in the City of New YorkBA, Mathematics, BA, Mathematics at Yale University
Github Skills (60)
text-processing10
python9
linter9
nlp8
science8
natural-language-processing8
static-typing8
toolbox7
tty7
ajax7
typechecker7
machine-learning7
matrix-factorization7
implicit7
collaborative-filtering7
Programming languages (9)
Github contributions (5)
mdeland/references
Jan 2015 - May 2015
Contributions:15 commits, 14 pushes in 3 months
mdeland/dotfiles
Jan 2016 - Dec 2020
Contributions:4 pushes in 5 years
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