James Nesbit is a Staff Data Scientist in New York with a decade of experience blending econometrics, macroeconomics and machine learning to drive data-driven products. After earning a PhD in Economics from NYU, he transitioned from academic research and teaching into industry roles at Amazon—rising from Economist to Senior Applied Scientist—and now leads data science at Attentive. He specializes in causal inference and scalable applied ML, translating rigorous economic methods into production-grade models for large-scale consumer platforms. Comfortable with both theory and engineering, he brings deep statistical rigor from his PhD work with noted economists and practical impact shipping models at AWS and Amazon. An analytical thinker who bridges economics and software, he often applies less-common macroeconometric perspectives to improve product experimentation and forecasting.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at New York University
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