Staff Scientist (Tech Lead Manager) - Membership

About the Role

The Membership team is responsible for developing and reinventing the Uber and UberEats apps to be a member-first experience from price to perks. We drive one of the strongest incremental programs at Uber and innovate/iterate fast! You will collaborate across teams, including UberEats, Rides, FinTech, etc.

What you will do

• Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
• Build statistical, optimization, and machine learning models for strategic insights as well as in production enhancements to the membership program.
• Design and analyze experiments, present results that provide actionable recommendations.
• Orient our teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
• Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.

Basic Qualifications

• B.S or M.S. in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative field
• 7+ years of industry experience as an Applied or Data Scientist or equivalent.
• 1+ years of experience in managing a team of Applied / Data Scientists.
• Experience in developing causal inference methodologies and experimental design (e.g., A/B and market-level experiments).
• Proficiency in SQL and programming languages (Python and/or R)
• Strong communication skills across technical, non-technical, and executive audiences.
• Strong business and product sense: ability to shape vague questions into well-defined analyses and success metrics that drive business decisions.

Preferred Qualifications

• Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
• Experience in building consumer-facing products in a technology company.
• Advanced analytics skills such as causal inference and non-standard A/B testing techniques.
• Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
• Experience with dashboard/data visualization toolings.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

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.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [email protected].