\\\\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 meaningful strategies to mitigate fraudulent activities and achieve key results (OKRs) 5\\. Mentorship: Hold the bar for technical excellence by conducting peer reviews and helping junior analysts develop through meaningful feedback 6\\. Stay highly engaged and always hustle, as Uber Risk is a very fast-paced environment \\\\Basic Qualifications\\\\ 1\\. 5+ years in a data-focused role such as product analytics, business analytics, business operations, or data science 2\\. Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or other quantitative fields 3\\. Experience in framing ambiguous business problems into structured analytical work. 4\\. Experience in leading large cross-functional projects 5\\. Highly proficient in data science and visualization tools, such as SQL, Python, Tableau 6\\. Proficient at defining, utilizing, and communicating performance metrics. 7\\. proven track record of applying analytical/statistical methods to solve real-world problems using big data 8\\. Creative problem solving, critical thinking skills, and a get-things-done attitude 9\\. Hands-on, data-driven, and attentive to detail \\\\Preferred Qualifications\\\\ 1\\. Advanced degree in Mathematics, Statistics, Computer Science, Economics, or other quantitative fields 2\\. 3+ years in Risk/Fraud/Payments 3\\. Expertise in statistics and experimental design 4\\. Demonstrated ability to be an effective leader, producing high-quality work and crafting meaningful relationships 5\\. Team player -- this is a highly collaborative function that will work with a range of senior leaders 6\\. Outstanding communication and people skills -- numbers are key, but one should be able to explain the implications to an executive audience 7\\. Passion for Uber! For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form-

The role requires 5+ years in a data-focused role such as product analytics, business analytics, business operations, or data science. A Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or other quantitative fields is necessary. Candidates must have experience framing ambiguous business problems into structured analytical work and leading large cross-functional projects. Proficiency in data science and visualization tools like SQL, Python, and Tableau is essential. A proven track record of applying analytical/statistical methods to solve real-world problems using big data is required, along with creative problem-solving, critical thinking, and a get-things-done attitude. An advanced degree in a quantitative field and 3+ years in Risk/Fraud/Payments are preferred qualifications.