Data Scientist II, Rider Experience

Uber • New York, NY • 16h ago

About the Role

Take the lead in shaping the future of mobility by joining the Rider Experience team, the group responsible for crafting the Uber app experience for millions of global users. We are seeking a curious and driven Data Scientist to tackle complex challenges and unlock the next wave of innovation in the rider journey.

This is an ideal role for a data scientist who thrives on ambiguity and is passionate about translating analytical insights into high-impact product strategies. You will serve as a thought leader guiding critical projects from conception to completion. As a data scientist, you'll have an opportunity to be the voice of Uber riders, understanding their experience, predicting their behavior, testing new features, and guiding the team to make data-driven decisions to improve their experience. If you are driven to solve ambiguous, high-impact problems at a global scale and want to define the core of a product used by millions daily, we invite you to apply.

What You'll Do

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.

Basic Qualifications

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).

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.

Proven ability to lead projects, work autonomously, and navigate ambiguity.

Preferred Qualifications

M.S. or Ph.D. in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research).

Deep expertise in advanced statistical techniques, including causal inference, quasi-experimental methods, and predictive modeling.

A track record of successfully influencing product strategy and driving business outcomes through data on a consumer app.

For New York, NY-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 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. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

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