Uber Eats is looking to redefine how people discover and enjoy food by incubating and scaling new tactics for acquiring, engaging, and retaining users across the Uber Eats and Uber Rides apps. The Growth team aims to identify new growth opportunities, optimize conversion funnels, and validate new acquisition tactics.
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.
- Strong analytical skills, with experience extracting user behavior insights from large datasets.
- 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.
- Analyze data across the Uber ecosystem to identify new growth opportunities, optimize conversion funnels, and run experiments to validate new acquisition tactics.
- Combine technical expertise with product intuition to shape Uber's platform strategy.
Other
- 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.
- Exceptional communication skills across technical, non-technical, and executive audiences.
- Prior experience working on a consumer app or a growth team.
- Minimum 4 years of industry experience as a Data Scientist or equivalent role (2+ if holding a Ph.D.)
