Spencer Weston is a senior product manager and data scientist with 8 years of experience building production-ready ML systems, causal inference models, and scalable data pipelines. He has moved from hands-on research at Oak Ridge—delivering cost-effective, high-resolution population estimates for global health initiatives—into industry roles where he optimized near-real-time insights from IoT data at Wiliot and led data strategy for cross-functional teams. Currently pursuing a master’s in Information and Data Science at UC Berkeley, he blends strong data engineering skills with product leadership to operationalize models and instrument customer-specific parameterization. Known for turning complex geospatial and supply-chain signals into actionable products, he brings a rare mix of rigorous research, CPLEX-backed optimization experience, and practical systemization that speeds decision-making in production environments.
8 years of coding experience
7 years of employment as a software developer
Master of Data Science Data Science, Master of Data Science Data Science at UC Berkeley School of Information
Honors Geography Geographic Information Science and Cartography, Honors Geography Geographic Information Science and Cartography at University of Tennessee, Knoxville
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