About the Role

The Airports team strives to create the best possible experience for our Riders, Drivers, and Airport Partners. We work across Uber's entire tech stack, including Pricing, Matching, Maps, and Rider/Driver Experience, and are looking for a Staff Scientist who can generate insights to determine our overarching strategy and investment allocations across these key pillars.

What you'll do:

• Deploy a wide variety of methodologies, including causal inference techniques, funnel analyses, and econometric modeling to identify our largest business opportunities

• Work together with Product, Operations, and Engineering partners to design a roadmap of features and initiatives as well as the long-term team strategy

• Present findings to business and executive audiences

Basic Qualifications

• 5+ years of industry experience as an Applied or Data Scientist or equivalent

• Experience in creating funnel breakdowns to identify and size opportunities

• Excellent data visualization skills and knowledge of Tableau, Looker, or similar tools

• Proficiency in SQL as well as either Python or R

Preferred Qualifications:

• Ph.D. or M.S. in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields

• 7+ years of industry experience as an Applied or Data Scientist or equivalent

• Expertise in experimental design and analysis

• Knowledge of pricing, econometrics, and causal inference techniques

• Ability to work collaboratively with and influence stakeholders at the Director and VP level

For Seattle, WA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year. 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