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Scientist II, Rider Experience

Uber

$155,000 - $172,000
Sep 17, 2025
San Francisco, CA, US
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Improve the Uber app experience for millions of global users by tackling complex challenges and unlocking the next wave of innovation in the rider journey

Requirements

  • Proficiency in SQL and a programming language like Python or R for complex data manipulation and analysis.
  • Demonstrated experience designing and analyzing large-scale A/B experiments.
  • Deep expertise in advanced statistical techniques, including causal inference, quasi-experimental methods, and predictive modeling.
  • M.S. or Ph.D. in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research).
  • A track record of successfully influencing product strategy and driving business outcomes through data on a consumer app.

Responsibilities

  • Lead complex analytical initiatives: Own and execute end-to-end analyses on large-scale, complex datasets to generate foundational insights into rider behavior, engagement, and long-term trends.
  • Drive product strategy with data: Act as a strategic partner to product, engineering, and design partners, using data to influence the roadmap and guide decisions for critical features and future innovations.
  • Innovate in experimentation and modeling: Go beyond standard A/B testing to develop and implement novel experimental designs and advanced machine learning models (e.g., personalization, causal inference, forecasting) to solve key business problems.
  • Champion data-informed decision-making: Define and evangelize best practices for measurement, statistical rigor, and data-driven problem-solving across the organization.
  • Translate ambiguity into action: Proactively identify and investigate complex, open-ended questions, delivering actionable recommendations that drive significant business value.

Other

  • 2+ years of industry experience in data science, analytics, or a related quantitative role.
  • Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research).
  • Proven ability to lead projects, work autonomously, and navigate ambiguity.
  • Participate in Uber's bonus program, and may be offered an equity award & other types of comp.
  • Eligible for various benefits.