Sr Data Scientist - Fraud/Risk

Sr Data Scientist - Fraud/Risk Department: Data Science Team: Data Scientist Location: San Francisco, United States Type: Full-Time **About the Role** **We’re looking for a Senior Data Scientist to join our Risk Decision Science team.** In this role, you’ll apply a data-driven approach to identify, understand, and scope emerging fraud trends across the Uber platform. As a **Senior Data Scientist (L5)**, you will be a technical bar-raiser and a trusted domain expert for stakeholders. You won't just analyze data, you will lead critical initiatives in fraud detection and collaborate closely with cross-functional partners, including engineers, product managers, operations, and other data scientists. You will be responsible for balancing complex trade-offs between fraud mitigation and user experience to drive key performance metrics like fraud losses and false positive rates. Success will require a strong blend of business and technical acumen, along with excellent communication and collaboration skills to work effectively with both internal and external stakeholders. **What You'll Do** 1\. Technical Leadership & Judgment: Apply effective techniques (ML, LLM, and experimentation) to solve a wide variety of new or existing business problems. You will be expected to make sound choices on measurement and metrics, depending on the problem and audience. Evolve our risk metrics, shape and influence our data models and instrumentation to generate insights and develop new data products and models. 2\. Strategic Influence: Influence the cross-functional roadmap by providing insights and recommendations that go beyond analytical considerations. You will collaborate with Product, Engineer, Ops, and regional teams to develop long-term risk strategies. 3\. Effective Communication: Tailor complex findings into compelling narratives for executive audiences. You will document logic and risks effectively to ensure the "why" behind your work is understood at a leadership level. 4\. Operational Excellence: Consistently take effective prioritization calls to maximize business impact. Deliver impactful and meanin