Summary
Jake Torcasso is an economist with 12 years of applied research experience and a PhD from the University of Chicago, currently shaping delivery strategy as Economist III at Amazon. He specializes in experiment design, quasi-experimental causal inference, and program evaluation, having driven work that cut analysis time by over 75% and identified opportunities to boost key customer metrics by 50%. His work blends rigorous academic training with pragmatic business impact—quantifying ROI for $100M+ capital decisions and translating complex models into operational recommendations. Jake routinely partners across product, data science, and engineering teams, building reusable causal frameworks that scale across regions and services. He also has a track record of teaching and mentoring—previously lecturing in econometrics—and brings a background in engineering physics that informs a quantitative, systems-oriented approach. Notably, he combines machine learning tooling experience from academic research with field experimentation at Amazon to close the loop between prediction and causal validation.
12 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at University of Chicago
Bachelor's degree, Engineering Physics, Bachelor's degree, Engineering Physics at Rose-Hulman Institute of Technology