Staff Data Scientist, Airports and Travel

About the Role

As a Staff Data Scientist, you will serve as a strategic thought leader and "Problem Finder" for a high-growth business segment focused on the end-to-end traveler experience. This domain presents complex challenges, as user behavior often spans multiple markets, products, and timeframes, requiring non-trivial attribution, measurement, and experimentation frameworks. You will leverage your technical mastery and strategic influence to proactively identify, frame, and size the most ambiguous, high-leverage growth opportunities for the organization. This role demands sustained, high-leverage impact across the organization, setting the long-term technical direction for data science, and ensuring all critical decisions are grounded in rigorous data science.

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

1. Strategic Problem Finding: Proactively identify, frame, and quantify the most ambiguous, high-leverage growth opportunities for the business, translating them into actionable, organization-level projects.
2. Lead End-to-End Solutions: Identify business opportunities and transform them into rigorous, data-driven solutions to build the next generation of end-to-end experiences for Uber travelers by partnering with engineering, product, and operations to co-drive execution.
3. Advanced Experimentation Leadership: Design, own, and rigorously analyze complex experimentation frameworks, including those dealing with multi-market attribution, to provide definitive launch recommendations and set the scientific agenda for the team.
4. Infrastructure & Measurement Ownership: Define and champion the adoption of canonical business health metrics across the organization, partnering with data engineering to build scalable, reliable data and measurement infrastructure.
5. Executive Influence: Synthesize complex data into clear, persuasive narratives and communicate strategic recommendations to senior leadership (Director/VP level), mobilizing cross-functional alignment across product, engineering, and operations.
6. Cross-Functional Leadership: Partner deeply with engineering, product, and operations to identify impactful opportunities and co-drive execution from inception to delivery. Act as a scientific thought leader, mentoring junior scientists and influencing technical strategy across the organization.
7. Technical Mentorship: Act as a scientific mentor, elevating the analytical and experimentation bar for junior and mid-level data scientists on the team.

Basic Qualifications

1. Bachelor's or M.S. degree in Economics, Operations Research, or a related quantitative field (e.g., Engineering, Applied Mathematics, Computer Science with a strong modeling focus).
2. 7+ years of relevant industry experience in a Product Data Science, Applied Science, or equivalent role, with a proven track record of driving organizational impact.
3. Strong ability to understand user behavior from data, identify and size opportunities, and drive solutions end to end.
4. Expert proficiency with Python, Pandas and SQL for large-scale data analysis, modeling, and production-level code collaboration.
5. Expertise in advanced experimentation (A/B testing, causal inference) and applying statistical rigor to complex business problems.
6. Exceptional communication skills, with proven experience in synthesizing complex data into persuasive narratives for both technical and executive audiences.

Preferred Qualifications

1. PhD in Economics, Operations Research, or a related quantitative field (e.g., Engineering, Applied Mathematics, Computer Science with a strong modeling focus).
2. Experience leading multi-quarter analytical workstreams with demonstrated, measurable impact at an organizational level.
3. Expertise in two-sided marketplace dynamics (e.g., pricing, supply-demand balancing) and the measurement of network effects or cross-market spillovers.
4. Proven track record of designing and analyzing advanced user behavior related experiments to design mass market products.
5. Experienced in using AI/Agentic tools to accelerate data retrieval, analysis, and experimentation workflows, achieving a 10x improvement in speed and impact.
6. Prior experience in a high-growth, high-scale technology or marketplace domain.

For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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.