Responsibilities

• Design, execute, and analyze large-scale experiments within the Uber Eats and Uber Rides apps.
• Perform analytical deep dives to explore topics including conversion funnels, shopping journeys, personalization & ranking, and user retention.
• Design frameworks for optimizing tradeoffs across competing business objectives to maximize platform growth.
• Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behavior and guide future product strategy.
• Present findings and recommendations to senior technical and business leaders.

Requirements

• Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
• Minimum 5 years of industry experience as a Data Scientist or equivalent role (2+ if holding a Ph.D.)
• Expertise in experimental design and statistical analysis for A/B testing and causal inference.
• Proficiency in SQL & Python for exploratory data analysis and modeling.
• Strong analytical skills, with experience extracting user behavior insights from large datasets.
• Experience with data visualization and dashboarding tools (e.g., Tableau, Matplotlib).

Preferred

• 6+ years of industry experience, particularly in growth, product, or consumer analytics.
• Proficiency in causal inference, funnel optimization, user segmentation, or lifetime value forecasting.
• Experience in algorithm prototyping and development.
• Exceptional communication skills across technical, non-technical, and executive audiences.
• Prior experience working on a consumer app or a growth team.

Benefits

• All full-time employees are eligible to participate in a 401(k) plan.
• You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.
• More details can be found at the following link https://jobs.uber.com/en/benefits.