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Matt DeLand

Data Science at Stripe

Matt DeLand is a data scientist at Stripe, specializing in Payments and leading the Payments Data Science Team since 2018, which has grown from 4 to over 30 members.

Before joining Stripe, Matt was a Machine Learning (ML) engineer at Box, where he integrated data-driven features into the product. He was also a co-founder and data scientist at Wagon, later acquired by Box, focusing on visual, repeatable, and collaborative data analysis processes.

His experience includes working as a data scientist and mathematician at Groupon, developing sales optimization pipelines to connect merchants and customers. Moreover, he served as the lead data scientist at Hyperpublic, focusing on structured local data collection and distribution.

With an academic background in mathematics, Matt holds a PhD from Columbia University and has worked as an assistant professor at SUNY Stony Brook and the University of Michigan. His specialties include mathematics, data mining, statistical learning, predictive model building, and evaluation.

Matt DeLand
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Location

San Francisco Bay Area