Summary
Stefanie Tuder is a Data Science Manager in Denver with a decade of experience building scalable data products and production-ready pipelines across ad tech and customer experience domains. At The Trade Desk she progressed from Data Scientist to manager, applying statistical modeling, supervised and unsupervised learning, and big-data parallel computing to drive data-informed decisions. Her background blends rigorous academic training (M.S. in Analytics) with hands-on product work—developing noise-reduction algorithms, end-to-end predictive pipelines, and omni-channel journey analytics. She pairs research-oriented algorithm development with pragmatic software engineering, enabling models to move from prototype to high-throughput production. Early roles in healthcare research and customer experience give her uncommon fluency in experimental design, data quality, and stakeholder-facing analytics.
10 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.) Analytics (STEM), Master of Science (M.S.) Analytics (STEM) at University of Denver - Daniels College of Business
Bachelor of Science (B.S.) Biology General, Bachelor of Science (B.S.) Biology General at University of Virginia
Spanish, English