Grocery & Retail is one of Uber’s biggest new bets, and the company is looking to shape the user acquisition roadmap and optimize conversion funnels to achieve further 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
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 3 years of industry experience as a Data Scientist or equivalent role
5+ years of industry experience, particularly in growth, product, or consumer analytics
Exceptional communication skills across technical, non-technical, and executive audiences
Prior experience working on a consumer app or a growth team
