Summary
Brian Craft is a Business and Marketing Data Scientist with nine years of experience turning analytical models into production-ready systems for enterprise and consumer products. Currently at Google and concurrently lecturing in the University of Chicago's MS Analytics program, he blends hands-on ML deployment (Docker, pipelines, APIs) with curriculum-level teaching. His background includes leading data science initiatives at Conagra and Cars.com where he built recommender and search engines, developed production ML pipelines, and created high-impact algorithms like Cars.com’s "Hot Car" and "Best Match" sort. He has a strong academic foundation—MS in Data Science with distinction and a BA in Economics—and a track record of operationalizing models across front-end, back-end, and ETL layers. Colleagues rely on him for reproducible modeling practices and pragmatic architecture that bridge data engineering and product needs. He’s as comfortable shipping code that serves millions as he is explaining core concepts to the next generation of analysts.
9 years of coding experience
5 years of employment as a software developer
Bachelors of Arts, Economics (Cum Laude), 3.6, Bachelors of Arts, Economics (Cum Laude), 3.6 at DePaul University
GSAL (Grad Student at Large), GSAL (Grad Student at Large) at University of Chicago