Summary
Jack Werner is a Senior Data Scientist based in Minneapolis with nine years of experience building predictive models and production ML pipelines for healthcare and financial services. At Optum he architects Databricks-based benchmarking models and serves as a statistical consultant using regression, bootstrapping, and risk inference to inform enterprise decisions. Previously he applied NLP to automate complaint routing at Wells Fargo and developed marketing decision-science tools using R, SAS, and SQL at Bluestem Brands. He publishes sports-focused data analysis projects publicly, showing a curiosity for applied modeling outside work and an ability to communicate technical results to wider audiences. Jack combines rigorous academic training in mathematics and statistics with hands-on engineering of reproducible pipelines, making him effective at moving models from exploration to operational use.
9 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Mathematics and Statistics, Bachelor’s Degree, Mathematics and Statistics at St. Olaf College