Summary
Rob Williams is a Senior Data Scientist at Bayer Crop Science with eight years of quantitative research experience and a track record of turning high-resolution daily satellite imagery into production-ready metrics and decision tools. He combines statistical and machine learning approaches with causal inference to optimize data collection and resource allocation for R&D, and has shepherded models and vegetation-index pipelines into cross-functional use. His background as a PhD-trained social scientist and postdoc gives him deep expertise in causal methods, GIS, and reproducible research workflows—skills he pairs with practical engineering using open-source tools. Rob has taught and mentored students and colleagues for four years across classrooms and hands-on workshops, translating complex methods into usable analyses. Notably, he has built dashboards and automated data ingestion workflows (including scraping and parsing of structured reports) to make large, messy data accessible to nontechnical stakeholders. Based in the Raleigh-Durham area, he focuses on making modern data science reproducible and more accessible to historically excluded communities.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA, Political Science, Bachelor of Arts - BA, Political Science at Haverford College
Doctor of Philosophy - PhD, Political Science, Doctor of Philosophy - PhD, Political Science at University of North Carolina at Chapel Hill