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Uber Eats is on a mission to redefine how people discover and enjoy food — and the Growth team is at the heart of that journey. We incubate and scale new tactics for acquiring, engaging, and retaining users across the Uber Eats and Uber Rides apps. As a Staff Scientist on the team, you’ll play a pivotal role in shaping the user acquisition roadmap. You’ll analyze data across the Uber ecosystem to identify new growth opportunities, optimize conversion funnels, and run experiments to validate new acquisition tactics — from integrations with the Uber Rides app to third-party ecosystems like Instacart. This is a highly visible, cross-functional role where you'll combine technical expertise with product intuition to shape Uber’s platform strategy.
Job Responsibility
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)
Nice to have
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