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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