Uber Eats is looking to redefine how people discover and enjoy food, and the Growth team is at the heart of that journey, incubating and scaling new tactics for acquiring, engaging, and retaining users across the Uber Eats and Uber Rides apps.
Requirements
- Expertise in experimental design and statistical analysis for A/B testing and causal inference.
- Proficiency in Python or R for exploratory data analysis and modeling.
- Experience with data visualization and dashboarding tools (e.g., Tableau, Matplotlib).
- Proficiency in causal inference, funnel optimization, user segmentation, or lifetime value forecasting.
- Experience in algorithm prototyping and development.
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.
Other
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Minimum 4 years of industry experience as a Data Scientist or equivalent role (2+ if holding a Ph.D.)
- Exceptional communication skills across technical, non-technical, and executive audiences.
- Prior experience working on a consumer app or a growth team.
- 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.
