Summary
Jim Crozier is a Principal Data Scientist with over a decade of experience building and productionizing statistical and econometric models for eCommerce, fintech, and enterprise clients. He combines advanced Python, R, and SQL expertise with cloud and big-data tooling (Spark, Hive, GCP, Hadoop) to deliver CI/CD-driven nightly prediction pipelines and scalable ML products. His work spans CLV, churn and time-series forecasting, pricing elasticity and recommendation systems, consistently translating complex models into measurable business impact. Jim pairs hands-on implementation experience at companies like MailChimp, Greenlight, and Chord Commerce with consulting roots, enabling him to align technical solutions to client strategy. He holds a PhD in Economics from Georgia Tech, which underpins a rigorous econometric approach that informed large-scale forecasting and revenue-optimization systems. A pragmatic communicator, he regularly bridges senior stakeholders and engineering teams to operationalize analytics at scale.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Economics, Doctor of Philosophy - PhD Economics at Georgia Institute of Technology
Bachelor of Business Administration (BBA) Finance, Bachelor of Business Administration (BBA) Finance at Georgia State University - J. Mack Robinson College of Business
Master of Arts (MA) Applied Economics, Master of Arts (MA) Applied Economics at University of North Carolina at Greensboro