Uber is seeking a Staff Data Scientist for their Global Safety & Risk Team in Sao Paulo, Brazil. The role focuses on applying data analysis, machine learning, and statistical modeling to identify and prevent safety incidents. Key responsibilities include analyzing imbalanced datasets, designing and implementing binary classification models, generating insights from risk data, conducting complex experiments (Diff-in-Diff, Synthetic Controls), and defining success metrics. The role requires experience in building and deploying binary classification systems for high-stakes applications, experimental design beyond A/B testing, handling extreme class imbalance, and proficiency in Python and SQL. Experience with geospatial data analysis and real-time inference systems is preferred.

Senior Data Scientist role focused on applied AI and ML for Uber's Discovery Science team. The role involves designing and implementing ML models for recommender systems, unifying business interests, and applying advanced techniques like Deep Learning and Reinforcement Learning to solve complex problems. It requires end-to-end ownership of models, from hypothesis to production debugging in low-latency environments.