Data Scientist - Statistics

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'll 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.

What You'll Need

• Experience in experimental design and analysis, exploratory data analysis and statistical analysis - A/B testing is very important.
• Excellent English proficiency is a must, as you’ll be interacting with English speakers!
• Be open to coming to the office in São Paulo at least 2-3 days a week, as we embrace a hybrid work model.
• Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
• Minimum 2 years of industry experience as a Data Scientist or equivalent.
• Experience with dashboard/data visualization toolings.
• Ability to use Python to work efficiently at scale with large data sets.
• Proficiency in SQL.

Preferred Qualifications

• 3+ years of industry experience.
• Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting.
• A/B testing is very important, experience with experimentation and statistical kowledge.
• Ability to use Python/R for exploratory data analysis and modeling.
• Strong communication skills across technical and non-technical audiences.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.