About the Role Grocery & Retail is one of Uber's biggest new bets. Since launching in 2020, we've achieved an annual run rate of $7 billion in global gross bookings and integrated two strategic acquisitions, Cornershop and Drizly. Our team builds across the end-to-end grocery experience, including consumer growth, fulfillment flows, and catalog management.
This role supports our consumer growth teams, helping us optimize traffic to the Grocery & Retail category in the Uber Eats app. Projects include funnel analysis, user targeting, promo optimization, and SKU analysis.
What you will do
- Design and analyze large-scale experiments on grocery users in the Eats app.
- Perform strategic deep dives to uncover opportunities for product and business growth, including funnel optimization, user segmentation, and lifetime value forecasting.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behaviors to inform future product strategies.
- Work closely with ML teams to uncover opportunities to improve ranking and personalization.
- Present findings to senior management to inform business decisions.
Basic Qualifications
- 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.
- Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
- Experience with dashboard/data visualization toolings.
- Ability to use Python to work efficiently at scale with large data sets.
- Proficiency in SQL.
Preferred Qualifications
- 5+ years of industry experience.
- Experience in algorithm prototyping and development.
- Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting.
- Ability to use Python/R for exploratory data analysis and modeling.
- Strong communication skills across technical, non-technical, and executive audiences.
Compensation For New York, NY-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
#J-18808-Ljbffr