Senior Data Scientist - Experimentation

Senior Data Scientist - Experimentation Department: Data Science Team: Data Scientist Location: Sao Paulo, Brazil Type: Full-Time **About the role and team** Science at Uber means transforming the complex reality of global data into the insights that power our most significant decisions. As a Senior Data Scientist, you will turn complexity into clarity by deep-diving into massive, multi-dimensional datasets to shape the direction of our core platforms and global marketplaces. This is an analytics-focused role where you will refine ambiguous questions and generate new hypotheses to identify opportunities that improve the user journey for millions of riders, earners, and merchants worldwide. You will join a high-stakes environment where the work is fast-moving, and the results are felt in the real world every single day. Collaborating closely with Product, Engineering, and Operations, you will serve as a data thought leader, ensuring that strategic decisions are rooted in rigorous insights and experimental results. This role is about influence and operational impact — **if you are looking to build and productionize advanced ML models, this is not the team;** if you want to navigate the messy reality of global business challenges through data, this is where you’ll grow. **What you’ll do** - Design and execute large-scale experiments, such as A/B tests, to evaluate product features or model updates and draw detailed, impactful conclusions. - Conduct deep-dive statistical and ad-hoc analyses to uncover trends and patterns that shape product strategy and respond to real-world market shifts. - Architect strategic metrics and monitoring systems while collaborating with Engineering to overhaul the underlying data pipelines that ensure data integrity. - Translate complex business needs into rigorous analytical frameworks and data requirements in partnership with Engineering, Product, and Operations. - Drive operational excellence by building scalable dashboards that provide visibility into underlying business drivers and product success. - Mentor junior data scientists and provide guidance on best