Staff Scientist – Eats Growth
| Company | Uber |
|---|---|
| Location | San Francisco, CA, USA, New York, NY, USA |
| Salary | $212000 – $235500 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
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).
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.
Preferred Qualifications
- 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.
Benefits
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No information provided on Benefits.