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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.
Job Responsibility:
Apply effective techniques (ML, LLM, and experimentation) to solve a wide variety of new or existing business problems
Evolve our risk metrics, shape and influence our data models and instrumentation to generate insights and develop new data products and models
Influence the cross-functional roadmap by providing insights and recommendations that go beyond analytical considerations
Collaborate with Product, Engineer, Ops, and regional teams to develop long-term risk strategies
Tailor complex findings into compelling narratives for executive audiences
Document logic and risks effectively to ensure the 'why' behind your work is understood at a leadership level
Consistently take effective prioritization calls to maximize business impact
Deliver impactful and meaningful strategies to mitigate fraudulent activities and achieve key results (OKRs)
Hold the bar for technical excellence by conducting peer reviews and helping junior analysts develop through meaningful feedback
Stay highly engaged and always hustle, as Uber Risk is a very fast-paced environment
Requirements:
5+ years in a data-focused role such as product analytics, business analytics, business operations, or data science
Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or other quantitative fields
Experience in framing ambiguous business problems into structured analytical work
Experience in leading large cross-functional projects
Highly proficient in data science and visualization tools, such as SQL, Python, Tableau
Proficient at defining, utilizing, and communicating performance metrics
proven track record of applying analytical/statistical methods to solve real-world problems using big data
Creative problem solving, critical thinking skills, and a get-things-done attitude
Hands-on, data-driven, and attentive to detail
Nice to have:
Advanced degree in Mathematics, Statistics, Computer Science, Economics, or other quantitative fields
3+ years in Risk/Fraud/Payments
Expertise in statistics and experimental design
Demonstrated ability to be an effective leader, producing high-quality work and crafting meaningful relationships
Team player -- this is a highly collaborative function that will work with a range of senior leaders
Outstanding communication and people skills -- numbers are key, but one should be able to explain the implications to an executive audience
Passion for Uber!
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan