Summary
Jordan Hiatt is a Senior Data Scientist in San Francisco with nine years of cross-functional experience spanning credit risk modeling, product, and full-stack development. With an MS in Data Science from UVA and three years at Merrick Bank, he built and productionized flagship underwriting models—raising AUC and driving risk‑adjusted lending decisions for high-growth portfolios. He combines rigorous causal inference and Bayesian approaches with practical engineering (Flask/Docker APIs, SQL, Python/R) to ensure models are interpretable, compliant, and operational. Jordan’s background in accounting, product management, and healthcare analytics gives him a rare blend of domain fluency and data rigor that helps uncover signal in messy, high‑stakes financial data.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at University of Virginia School of Data Science
Bachelor of Science (BS) Accounting, Bachelor of Science (BS) Accounting at Brigham Young University