Paulo Rossi is a Data Science Manager in São Paulo with a decade of experience turning advanced quantitative research into production-grade decision systems. With a PhD in Statistical Physics from USP and a background that includes a Tokyo research visit, he bridges rigorous mathematical modeling and practical product delivery across fintech and data-lab environments. At Nubank he has led squads building scalable experimentation platforms and now architects a plug-and-play fraud defense platform that standardizes policies and ML models across teams. Previously at Serasa Experian he shipped geospatial analytics, image-based theft detection, and low-cost localization hardware while leading client-facing projects and hiring assessments. Comfortable moving between research, engineering and operations, he combines academic depth with a track record of operationalizing complex models at scale.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at USP - Universidade de São Paulo
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