Victor Aguiar

About Victor Aguiar

I am a deep-research scientist grounded in economic and econometric theory, now working at industrial scale through causal evaluation of AI-driven customer modeling systems, production-ready modeling, and Amazon-scale data. My superpower is learning quickly: I ramp into new contexts within weeks and bridge theoretical rigor with industrial-scale technology. At Amazon’s Stores Economics & Science (SEAS) team, I developed LLM-native methods to model customer attention at scale, built decision-theoretic consideration-set models, and delivered scalable econometric and embedding-based frameworks linking behavior to cost-to-serve and operational outcomes. My work also includes scalable cross-price and substitution estimation, high-velocity event timing using foundation-model forecasting, and tariff impact evaluation, all designed to translate rigorous economic insights into actionable decisions worth billions of dollars.Before industry, I was a tenured associate professor and multi-script economist with publications in top journals such as the Review of Economic Studies, Journal of Econometrics, Journal of Economic Theory, Quantitative Economics, and the Journal of Business & Economic Statistics. I bring broad expertise spanning decision theory, structural and reduced-form econometrics, behavioral modeling, and applied AI. My goal is to build evidence and systems that ensure AI-driven technologies benefit customers and society.

Experience

1. Senior Economist

   Amazon

   May 2025 — Present · Seattle, WA, US

   Senior Economist focused on the role of attention on marketplaces.

Education

• Brown University

  Doctor of Philosophy (Ph.D.), Economics

• Latin America University of Social Sciences (FLACSO Ecuador)

  Master of Arts (M.A.), Development Economics

• Université Pierre Mendès France

  Master of Arts (M.A.), Public Administration and International Trade

• Catholic University of Ecuador

  Bachelor of Science (B.Sc.), Economics