James Savage is a Bayesian statistician, economist, and data science founder with 12 years of experience applying probabilistic methods to talent identification, portfolio risk, causal inference, and high-dimensional discrete choice problems. As Co-Founder of Feather.rsvp and former Director of Data Science at Schmidt Futures/Sciences, he blends hands-on modeling with strategic program leadership across AI-for-science and social-good domains. He has built production risk engines and led cross-border data teams at Lendable, advised national policy bodies on complex econometric models, and taught university courses—bringing both research rigor and operational delivery. James emphasizes visualization and communication, translating high-dimensional, tail-risk and causal insights into actionable decisions for investors, policymakers, and educators. A practical experimentalist, he pairs aggregated experimental and survey/lab data with modern Bayesian workflows, and maintains a public writing practice that surfaces his methodological thinking. Based in New York, he combines academic training in econometrics with a strong track record of turning complex statistical ideas into deployed systems and policy-relevant analysis.
12 years of coding experience
16 years of employment as a software developer
Eric and Wendy Schmidt Data Science for Social Good summer fellowship, Eric and Wendy Schmidt Data Science for Social Good summer fellowship at University of Chicago
The University of Melbourne
Bachelor of Economics, Bachelor of Economics at La Trobe University
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