About the Role

Every year, Uber spends billions of dollars on rider/eater discounts and earner/merchant incentives. How well are we deploying these incentives? What's their impact on the market? What's the best approach to allocate those incentives? The Marketplace Investments Science team works to answer these questions.

We are looking for experienced candidates with a passion for solving new and difficult problems with experimentation data and observational data. You will build out model to simulate and understand the marketplace, uncover the true incentive performance, and inform/influence the investment budgets into its best spent.

What You will Do

Your day-to-day responsibilities will be centered around marketplace inference. You will:

Work on methods to extract useful signals from noisy experimentations that are biased by marketplace interference.

Produce data on incentive impacts that is consumed by teams across Marketplace and Ops.

Design and analyze experiments to improve investment strategies.

Develop proactive insights that inform incentive strategy.

---- Basic Qualifications ----

Ph.D., M.S. or Bachelors's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If an M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience in a similar role).

Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.

Knowledge of experimental design and analysis.

Experience with exploratory data analysis, statistical analysis and testing, and model development.

Ability to use Python to work efficiently at scale with large data sets.

Proficiency in languages and tools like SQL, R, and Spark.

---- Preferred Qualifications ----

5+ years of industry experience in a similar role

Advanced experience in experimental design and analysis (e.g., A/B and market-level experiments), as well as causal inference

Experience in algorithm development and prototyping

Experience with causal ML methods is a plus

Experience in Pricing and incentives

Excellent judgment, critical thinking, and decision-making skills.

Ability to translate data science findings into business strategy

Strong communication skills.

Self-motivated with the ability to work independently.

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 Seattle, WA-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.

Uber is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform