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Senior Data Scientist - Fraud/Risk

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Uber

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Location:
United States , San Francisco ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

171000.00 - 190000.00 USD / Year
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Job Description:

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
  • Eligible for various benefits

Additional Information:

Job Posted:
March 01, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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