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About The Role
The Consumer & Growth Science team at Uber Eats is on a mission to deeply understand our users and shape the future of how they discover, shop, and engage on the platform. We tackle high-impact, cross-functional projects-from defining customer segmentation and modeling shopping behavior to guiding incentive strategy and optimizing the conversion funnel. As a Staff Scientist, you'll be at the center of these efforts, driving clarity on Uber Eats' toughest questions and shaping decisions that influence millions of consumers across multiple lines of business.

About The Role
The Consumer & Growth Science team at Uber Eats is on a mission to deeply understand our users and shape the future of how they discover, shop, and engage on the platform. We tackle high-impact, cross-functional projects-from defining customer segmentation and modeling shopping behavior to guiding incentive strategy and optimizing the conversion funnel. As a Staff Scientist, you'll be at the center of these efforts, driving clarity on Uber Eats' toughest questions and shaping decisions that influence millions of consumers across multiple lines of business.
What You'll Do

• Lead the scientific agenda across the Uber Eats shopping funnel, identifying key questions, designing learning plans, and translating insights into strategic direction.
• Conduct advanced analyses-including behavioral modeling, causal inference, and experiment design-to uncover how users engage with the platform and how our systems should respond.
• Collaborate with cross-functional partners in Product, Engineering, Operations, and Marketing to influence priorities and ensure insights are integrated into product roadmaps.
• Serve as a thought partner to senior leadership, providing clear, principled guidance on tradeoffs that span short- vs. long-term growth and multiple lines of business.
• Jump into high-priority initiatives, providing scientific support and thought leadership on ambiguous or high-impact questions.
  

Basic Qualifications

• Ph.D., or M.S. in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
• Minimum 4 years of industry experience in data science, analytics, or a related quantitative field, with a strong track record of impact in consumer technology or marketplace environments.
• Expertise in applied statistics, causal inference, and experimentation, with hands-on experience analyzing large-scale behavioral data to drive product or business decisions.
  

Preferred Qualifications

• Experience working in fast-paced, ambiguous environments with direct exposure to senior executives or C-level stakeholders.
• Proven ability to influence senior stakeholders and drive cross-functional alignment through compelling insights, storytelling, and strategic thinking.
• Demonstrated success driving long-term strategic thinking while balancing short-term business goals in a consumer-facing or marketplace product.
• Familiarity with Uber Eats' lines of business (e.g., Restaurants, Grocery, Alcohol) and an understanding of multi-sided marketplace dynamics.
• Strong mentorship and leadership skills, with a track record of elevating scientific standards and growing junior talent across teams.
  

For New York, NY-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 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

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Internet Marketplace Platforms

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