Uber's Grocery & Retail team is looking to shape the user acquisition roadmap by identifying new growth opportunities, optimizing conversion funnels, and validating new acquisition tactics to drive platform growth.
Requirements
- Expertise in experimental design and statistical analysis for A/B testing and causal inference.
- Proficiency in R or 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).
- 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
- Minimum 3 years of industry experience as a Data Scientist or equivalent role.
- 5+ years of industry experience, particularly in growth, product, or consumer analytics.
- 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.
