Summary
Jason Whittle is a Principal Data Scientist applying economics-informed analytics to enterprise challenges across healthcare, education, and tech. With a PhD in Economics from the University of Utah, he specializes in customer lifetime value, retention modeling, and revenue forecasting, leveraging Docker, AWS, Snowflake, and Python to move models from proof-of-concept to production. At Pluralsight, he built and productionized CLV and propensity-to-buy models and mentored junior data scientists; most recently he focused on revenue forecasting in B2B contexts. He currently serves as Principal Data Scientist at Children's Mercy, bringing rigorous causal inference and predictive analytics to healthcare data. His past work spans climate and resource economics, learning analytics, and workforce enrollment forecasting, reflecting a broad applied economics and data science toolkit. He is based in Colorado and is a lifelong learner with a proven track record of collaborative and individual impact.
8 years of coding experience