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Staff Data Scientist, Airports and Travel

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Uber

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Location:
United States , San Francisco

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Contract Type:
Employment contract

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Salary:

216000.00 - 240000.00 USD / Year

Job Description:

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.

Job Responsibility:

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Technical Mentorship: Act as a scientific mentor, elevating the analytical and experimentation bar for junior and mid-level data scientists on the team

Requirements:

  • 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)
  • 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
  • Strong ability to understand user behavior from data, identify and size opportunities, and drive solutions end to end
  • Expert proficiency with Python, Pandas and SQL for large-scale data analysis, modeling, and production-level code collaboration
  • Expertise in advanced experimentation (A/B testing, causal inference) and applying statistical rigor to complex business problems
  • Exceptional communication skills, with proven experience in synthesizing complex data into persuasive narratives for both technical and executive audiences

Nice to have:

  • PhD in Economics, Operations Research, or a related quantitative field (e.g., Engineering, Applied Mathematics, Computer Science with a strong modeling focus)
  • Experience leading multi-quarter analytical workstreams with demonstrated, measurable impact at an organizational level
  • Expertise in two-sided marketplace dynamics (e.g., pricing, supply-demand balancing) and the measurement of network effects or cross-market spillovers
  • Proven track record of designing and analyzing advanced user behavior related experiments to design mass market products
  • Experienced in using AI/Agentic tools to accelerate data retrieval, analysis, and experimentation workflows, achieving a 10x improvement in speed and impact
  • Prior experience in a high-growth, high-scale technology or marketplace domain
What we offer:
  • Eligible to participate in Uber's bonus program
  • may be offered an equity award & other types of comp
  • eligible to participate in a 401(k) plan
  • various benefits

Additional Information:

Job Posted:
May 11, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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