Senior Applied Scientist
World Wide Return and ReCommerce Planning
Amazon
[email protected]
+1 (646) 823-0740
Curriculum Vitae
I'm James Nesbit, a Senior Applied Scientist at Amazon with a Ph.D. in Economics from NYU. My work focuses on forecasting, supply chain optimization, causal inference, and machine learning. I develop interpretable time series models and optimization algorithms that drive business value through improved planning accuracy and resource allocation.
As a Senior Applied Scientist, I architect forecasting and supply chain planning platforms for Amazon's reverse logistics supply chain. I develop interpretable time series models with built-in decomposition capabilities, establish statistical forecast goal planning frameworks, and create causal inference capabilities for data-driven policy adjustments.
I designed and implemented optimization algorithms for transportation planning, optimal replenishment, inventory planning, and store layout optimization. I built solutions using Java, Python/SQL, and JavaScript/TypeScript on AWS infrastructure, and collaborated with forecasting science teams to integrate time series models into optimization frameworks.
Programming Languages: Python, Java, R, SQL, R, React
Cloud & Tools: AWS (CDK and Python SDK)
Areas of Expertise: Time Series Forecasting, Optimization, Causal Inference, MLOps
A Robust Machine Learning Algorithm for Text Analysis
(with Shikun Ke and José Luis Montiel Olea)
Quantitative Economics Vol. 15(4), 2024, pp. 939-970
bibtex
Short-Term Fluctuations in Incidental Happiness and Economic Decision-Making: Experimental Evidence from a Sports Bar
(with Judd Kessler,
Andrew McClellan, and
Andrew Schotter)
Experimental Economics Vol. 25(1), 2024, pp. 141-169
bibtex
(Machine) Learning Parameter Regions
(with José Luis Montiel Olea)
Journal of Econometrics, Vol. 222(1), 2021, pp. 716-744
bibtex,
code,
online supplement,
working paper version
Text as Instruments
March 2021
bibtex
Ph.D. in Economics, New York University (2015–2021)
Advisors: Tim Christensen, José Luis Montiel Olea, Alfred Galichon