Staff Scientist, Product (multiple teams hiring)

About the Teams:

Airports: 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.

Consumer Partnerships: Partnerships make the Uber experience even better by allowing consumers to earn additional perks on their trips and meals. These partnerships include many of the biggest brands in airlines, hotels, credit cards, and more, and we are always looking for ways to improve and grow these deals.

Reservations: The Reservations data science team owns the experience and algorithms powering the Uber Reserve Product in the Rider and Driver app. We optimize the user experience for both Riders and Drivers, matching, dispatch and pricing algorithms, as well as growth levers to deliver magical experiences and business value.

Rider Experience: The Rider Experience data science team owns the experience and algorithms powering the rider’s end-to-end user experience within the Uber App from booking a ride to matching with a driver to completing the trip and leaving feedback. We drive growth in the mobility business by understanding how riders use the app, delivering a seamless experience, and creating new personalized features.

Uber for Business: Uber for Business brings the utility and convenience of Uber to companies, their employees, and their customers. We build innovative products on top of Uber’s rides and delivery platforms, including Uber Health and vouchers, and are a key part of the company’s next phase of growth.

---- What the Candidate Will 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 ----

• Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
• Strong SQL skills and ability to code in either Python or R.
• Experience in experimental design and analysis (e.g., A/B and/or market-level experiments).

---- Preferred Qualifications ----

• 6+ years of industry experience as a Data Scientist or equivalent.
• Ability to design, develop, productionize, and operate econometric models, experiments, and frameworks to assess challenging causal problems such as product incrementality and long-term value.
• Familiarity with pricing and elasticity modeling.
• Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
• Experience collaborating with very senior stakeholders (Director+) and generating insights to shape strategy.
• Familiarity with data visualization tools, such as Tableau.

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

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

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

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.