Summary
Callie Federer is a senior data science leader based in Denver with a decade of experience turning research into product impact. As Senior Data Science Manager at DAT Freight & Analytics, she oversees both the data science research and ML engineering teams, delivering projects in recommendations, ranking search results, user clustering, and time-series forecasting. She excels at cross-functional leadership, having directly managed BI and systems architecture at Choozle and spearheaded forecasting tool development aligned with business goals. Her background spans academia and industry, including a PhD in Computational Bioscience from the University of Colorado Denver and a BS in Computer Science and Biology, with hands-on work advancing OCR and neural networks. She is pursuing an EMBA, blending rigorous analytics with strategic leadership to drive scalable AI solutions in freight analytics and beyond.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Bioscience, Doctor of Philosophy (Ph.D.), Computational Bioscience at University of Colorado Denver
Cor Jesu Academy
Bachelor of Science (B.S.), Computer Science, Biology, Bachelor of Science (B.S.), Computer Science, Biology at Truman State University