Charles Hubbard
Data Scientist
Ames, Iowa, United States
Summary
👤
Senior🎓
Top SchoolCharles Hubbard is a data scientist with 11 years of experience who combines academic rigor in machine learning and GPU computing with practical impact at scale, currently shaping ranking models at Meta to help users discover valuable services. He previously led Hy-Vee’s data science team, building predictive models for customer behavior, inventory forecasting, and targeted marketing while helping migrate workloads to cloud infrastructure. As Chief Data Officer at DenScore he applies AI and big-data analytics to improve dental care navigation, demonstrating a knack for product-focused ML beyond traditional retail use cases. His background includes GPU-accelerated matrix completion research for recommendation systems and hands-on experience with Python, TensorFlow, and large-scale experimentation, making him comfortable bridging research, engineering, and cross-functional stakeholders. Based in Ames, Iowa, he complements technical depth with leadership in presenting insights and designing data-driven product hypotheses.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS), Physics, 3.77, Bachelor of Science (BS), Physics, 3.77 at University of Northern IowaMaster’s Degree, Computer Engineering, 3.89, Master’s Degree, Computer Engineering, 3.89 at Iowa State University
English
Github Skills (3)
machine-learning1
recommendation-system1
recipe1
Github contributions (5)
cghubbard/gpu-fish
Nov 2016 - Jan 2017
Contributions:18 commits, 18 pushes, 1 branch in 1 month
cghubbard/cghubbard.github.com
Nov 2016 - Dec 2016
Contributions:15 pushes, 1 branch in 1 month
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