Rodrigo Azuero is a senior data science leader and economist with 11+ years building causal inference and ML-driven products across industry, government, and academia, now managing research data scientists at Google focused on local and travel verticals. He led teams at AWS that optimized go-to-market strategy and delivered tens of millions in monthly incremental revenue, and directed large-scale field experiments in Ecuador that impacted over 24,000 students. A Penn PhD in economics, he has a track record of translating rigorous causal methods (Double ML, CBPS) into production decisioning and policy, and his academic work has 400+ citations. He also develops practical tools—authoring the gmapsdistance package with 75k+ downloads—and has helped governments in Latin America stand up data analytics offices tied to major investment programs. Known for coaching scientists into higher-impact roles, he combines technical depth with a demonstrated ability to shape strategy for 200+ person organizations.
11 years of coding experience
Universidad de los Andes
Certificate Econometrics, Certificate Econometrics at Tilburg University
Doctor of Philosophy (PhD) economics, Doctor of Philosophy (PhD) economics at University of Pennsylvania
The Alpha_in_Optimal branch includes alpha in the variable that will be optimized and will not consider "c", the constant inside the production function. It is arranged to have the two issues in the sobol and in the optimizer. C in optimal branch includes "c" in the optimizer and sobol. Master will be the default.
Contributions:1 PR, 77 pushes, 1 branch in 1 year 8 months
Contributions:12 commits, 11 pushes, 1 branch in 2 years 8 months
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Rodrigo Azuero - Staff Data Scientist - Research, Manager.