Matt Mills is a Staff Data Scientist with 11 years of experience applying statistical and machine learning methods across Fortune 100 finance, fintech startups, and credit bureaus to drive high-impact lending and risk decisions. He has led teams, hired senior data scientists, and managed intern programs while building production-grade models and pipelines using Python, scikit-learn, XGBoost, PySpark, Databricks and SQL. His work at Amex and Kabbage powered multi-hundred-million-dollar lending portfolios, earned an innovation award for an ensemble approach that accelerated regulatory approval, and delivered measurable lifts in approval and default metrics. Equally at home prototyping causal, survival, and Bayesian models as he is shipping scalable models, Matt brings a strong pragmatic bent toward experiment design and model governance. After a year-long sabbatical traveling the world, he’s based in Atlanta and eager to rejoin a team where technical depth and business impact intersect.
11 years of coding experience
7 years of employment as a software developer
Master's Degree Analytics, Master's Degree Analytics at Georgia Institute of Technology
Minor in Engineering and Business, Minor in Engineering and Business at Denning Technology & Management Program
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