About the Team

Across thousands of storefronts each with thousands of products, Uber Grocery needs to decide exactly what products to show you, how to price them, and how to balance the tricky tradeoffs that come with delivery logistics. We build systems that deeply understand our products, users, and merchants to optimize the marketplace for all parties.

What you will do

• Design, develop and interpret models and experiments that helps solve challenging causal problems such as product incrementality and long-term value
• Propose, design, and analyze large scale experiments to answer key strategic questions.
• Develop data-driven insights to identify opportunities to improve the product or build new products.
• Present findings to various constituents: technical, business and executive audiences.

Basic Qualifications

• Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
• 3+ years of industry experience as an Applied or Data Scientist or equivalent.
• Experience in experimental design and analysis.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.
• Experience using Python to work efficiently at scale with large data sets.
• Proficiency in SQL.

Preferred Qualifications

• Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
• Experience guiding and mentoring other Scientists.
• Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
• Excellent communication skills across technical, non-technical, and executive audiences.

For New York, NY-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year.

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 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.