Summary
Christopher Dienes is a Senior Data Science Manager with a PhD in Statistics and nine years of industry experience leading teams that turn statistical rigor into production-grade ML solutions. He currently manages ~20 data scientists and ML engineers at AWS Professional Services, delivering AI/ML and MLOps solutions across NLP, computer vision, epidemiology modeling, and large-scale AWS architectures. Prior roles span end-to-end modeling at Seagate, Wiland, and the CDC, where he combined research, visualization, and deployment to operationalize thousands of predictive models. Known for mentoring teams and bridging technical strategy with client-facing delivery, he has coauthored internal inventions and contributed open-source tools like SeaClass. Based in the Denver area, he brings uncommon depth in formal statistics paired with hands-on ML engineering and enterprise consulting experience.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, 4.0, Doctor of Philosophy (Ph.D.), Statistics, 4.0 at University of California, Davis
High School, 4.0, High School, 4.0 at Browning High School
Bachelor’s Degree, Mathematics, 4.0, Bachelor’s Degree, Mathematics, 4.0 at Montana Tech of the University of Montana