Summary
Gregor Thomas is a Principal Data Scientist with 13 years of experience applying statistics, machine learning, and BI to social sector and public-facing problems, currently leading analytics at the Center for Social Sector Analytics & Technology. He has built maintainable data pipelines, rigorous metrics, and causal analyses for child welfare, behavioral health workforce training, and nonprofit program evaluation, and previously deployed ML models at Amazon to anticipate third-party seller needs. A longtime R enthusiast and instructor, he pairs reproducible research and clear technical communication—praised both in classrooms and stakeholder briefings—to make complex analysis accessible. His background in quantitative ecology gives him a unique edge in survival analysis and spatial simulation, skills he has translated from salmon studies into human services measurement. Based in Traverse City, Michigan, he focuses on turning existing data into strategic plans and evidence of program effectiveness for nonprofits.
13 years of coding experience
9 years of employment as a software developer
Master of Science (M.S.), Quantitative Ecology and Resource Management, Master of Science (M.S.), Quantitative Ecology and Resource Management at University of Washington
Bachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at Harvey Mudd College
Stratford High School
Swahili