Summary
Arturo Sbr is a Senior Data Scientist based in Mexico City with seven years of experience building production-grade predictive models and scalable AI solutions across finance, education, and nonprofit sectors. He combines predictive modeling with causal inference—leading BBVA’s Causal Inference Innovation Hub and applying experiments and A/B tests to drive product decisions and measurable engagement gains. Arturo teaches econometrics at ITAM and brings an academic rigor to practical problems, from credit-behavior models and model monitoring to forecasting macro variables like gold and exchange rates. Now at Google, he continues to bridge research and production, specializing in NLP and experimentation design while maintaining a hands-on engineering approach to deployment and monitoring. Notably, he has a track record of translating causal insights into product changes that demonstrably improve user outcomes.
7 years of coding experience
7 years of employment as a software developer
MSc Applied Economics Statistics, MSc Applied Economics Statistics at Instituto Tecnológico Autónomo de México