Scientist II - UberEats Courier Pricing

About the Role

The Uber Eats Marketplace team is the heart of the Uber Eats business. We build the platform and products that power the magical experience of connecting eaters, couriers, and restaurants. As a critical component of this ecosystem, the Courier Pricing team is responsible for the complex systems that determine courier earnings on every Uber Eats delivery worldwide.

Our mission is to build and refine a fully automated pricing system that optimizes our three-sided marketplace for consumers, couriers, and merchants. We leverage sophisticated optimization, machine learning, and causal inference techniques to balance efficiency, reliability, and cost under highly dynamic conditions. This is a high-impact team solving core business challenges across diverse verticals—including restaurant delivery, grocery, and retail—and supporting global markets with unique and complex problems.

---- What You Will Do ----

1. Design, develop, and deploy models and algorithms (e.g., optimization, machine learning, structural models) to power both structural and real-time pricing decisions at a global scale.
2. Lead the end-to-end design and analysis of large-scale experiments to validate models and inform strategic pricing decisions.
3. Conduct deep-dive data analysis to uncover critical insights, understand product performance, and identify new opportunities for optimization.
4. Develop and implement key metrics to monitor, evaluate, and iterate on the performance of our pricing systems, ensuring they meet business objectives.
5. Partner closely with Product Managers, Engineers, and Operations teams to translate ambiguous business challenges into quantitative problems and shepherd solutions from ideation to production

---- Basic Qualifications ----

1. A Ph.D. in a quantitative field (e.g., Statistics, Economics, Computer Science, Operations Research) OR a Master's/Bachelor's degree in a similar field with 2+ years of relevant industry experience.
2. Proficiency in data analysis and programming using a language like Python or R.
3. Experience querying databases using SQL.
4. Foundational knowledge in at least one of the following areas: machine learning, statistics, optimization, causal inference, or economics.
5. Excellent communication skills, with the ability to convey complex technical concepts to diverse audiences.

---- Preferred Qualifications ----

1. Deep, hands-on expertise and a proven track record of applying advanced methods from machine learning, statistics, optimization, and causal inference to solve complex, real-world business problems.
2. Direct experience in a marketplace or pricing-related domain (e.g., dynamic pricing, auctions, mechanism design).
3. Demonstrated expertise in designing and analyzing complex experiments in a production environment.
4. Strong problem-solving skills, with a proven ability to translate ambiguous business questions into a structured analytical framework.
5. Experience with large-scale data processing tools like Spark, Hive, or Presto.

For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 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 .

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form .

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.