About the Role
We are seeking a Data Scientist to join our team. This Data Scientist will be responsible for successfully executing on projects that require collaboration across product and engineering stakeholders in a complex environment focused on ensuring platform trust.
This role seeks to ensure that Uber’s platform is secure, with users who are authenticated and unique through the use of statistics, experiment design, and machine learning model deployment. In this role, you will identify, measure, and mitigate adversarial activities while using technical and business skills to create anti-fraud strategies across Uber.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Leverage advanced analytical and quantitative techniques—including machine learning, statistical modeling, causal inference, funnel analysis, and business analytics to identify platform fraud.
- Translate complex analyses into clear, actionable insights and fraud strategy. Effectively communicate findings to cross-functional stakeholders such as product management, engineering teams, and safety/risk operations to shape product and fraud action strategy.
- Collaborate closely with Product, Engineering, and Operations teams to define metrics and drive building an effective set of reporting functions to measure and monitor the performance of identity fraud products on our platform.
- Provide technical mentorship and thought leadership, raising the bar for scientific rigor, championing best practices in statistical and machine learning methodologies, and fostering a strong culture of data-driven decision-making.
---- Basic Qualifications ----
- Ph.D., M.S., or Bachelor's degree in Economics, Operations Research, or a related quantitative field (e.g., Statistics, Applied Mathematics, Computer Science with a strong modeling focus).
- Strong foundation in marketplace modeling and dynamics, including experimental design (e.g., A/B testing), causal inference, and optimization techniques.
- Proficiency in SQL and experience using Python or R for data analysis, modeling, and prototyping.
- Demonstrated ability to extract insights from complex datasets, distill them into actionable strategies, and influence product and business decisions.
- Excellent written and verbal communication skills, with the ability to clearly explain technical concepts to cross-functional stakeholders and drive alignment across teams
---- Preferred Qualifications ----
- Minimum 2 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
- Expertise in anomaly detection, fraud analysis, risk profiling in complex multi-sided marketplace platforms.
- Advanced knowledge of experimental design and causal inference techniques, including observational studies and quasi-experimental methods.
- Hands-on experience working with messy, incomplete, or noisy datasets to generate insights and drive real-world impact.
- Proven ability to collaborate and influence senior stakeholders through clear, data-driven recommendations.
- Strong judgment and critical thinking skills, with a track record of navigating ambiguity, setting priorities, and making high-quality decisions in a fast-moving environment.
For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 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 https://jobs.uber.com/en/benefits.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity 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.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.