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Senior Staff Scientist, Rider Science

Data Scientist, Data Science
in San Francisco, California
- Full Time

About the Role

At Uber, our mission is to reimagine how the world moves for the better. As part of the Rider Science team, you’ll have the opportunity to work on the core mobility business and influence the experience for millions of riders. You’ll design experiments, develop models, and analyze user behavior to deepen our understanding of the mobility business and drive future growth.

The work we do is diverse: it includes experimentation, causal inference, ML modeling, and exploratory data analysis. You will collaborate with other scientists, product managers, engineers, and business teams to solve problems, answer longstanding questions, and raise new ones of your own.

One key area of interest is understanding how a rider’s current experiences with our product inform their long-term engagement with the product.

What You'll Do

Your insights will inform long term strategy by discovering new opportunities as well as helping prioritize and refine existing efforts. You will:

  • Explore our rider data and carry out rigorous analysis to support your insights
  • Design, run, and analyze experiments to test hypothesis about our riders
  • Build models which could be applied in production to improve the rider experience or Uber’s business performance
  • Tell a compelling story about your findings to stakeholders and executives

Basic Qualifications

  • Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
  • Minimum 6 years of industry experience in Data Science, Applied Science, or related roles, with a proven record of driving product impact.
  • Deep expertise in Python or R, and statistical analysis.
  • Advanced knowledge of experimentation and causal inference methodologies.
  • Experience presenting to and influencing senior leadership and executives.

Preferred Qualifications

  • Experience working with marketplaces
  • Strong communication, storytelling, and influencing skills.
  • Experience building and deploying ML or optimization models in production.
  • Demonstrated leadership of large-scale, cross-functional technical initiatives.
  • Entrepreneurial experience launching new product lines, systems, or 0-to-1 initiatives.

For San Francisco, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.

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.


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Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran Status, or any other characteristic protected by law.