Data Scientist II, Rider Experience

Uber

San Francisco, CA

Full Time

Mid Level

155k-172k

about 1 month ago

Job Description

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.

Key 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: 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.

Requirements

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.

Nice to Have

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.

Qualifications

Experience in data science, analytics, or related quantitative roles.
Educational background in a quantitative field such as Statistics, Economics, Computer Science, Engineering, or Operations Research.

Benefits & Perks

Eligible to participate in Uber's bonus program.
May be offered an equity award & other types of compensation.
Eligible for various benefits as detailed at https://www.uber.com/careers/benefits.

Working at Uber

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration 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. The company values collaboration and maintains a strong cultural identity centered around office presence, with expectations for employees to spend at least half of their work time in their assigned office unless fully remote work is approved.

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