Working in Science at Uber means solving complex marketplace problems in a high-stakes, fast-moving environment. You will be joining the Rider Pricing and Incentives Science team, which owns our automated real-time pricing systems. You’ll turn massive amounts of unstructured marketplace data into focused algorithmic strategies, navigating ambiguity to build technologies that directly influence every ride decision made across our global mobility marketplace.
In this role, you’ll serve as the vital bridge between technical depth and real-world business impact. We are looking for experienced candidates with strong quantitative expertise across data science, operations research, statistics, and economics. You will thrive here if you possess an owner’s mindset, combine algorithmic rigour with practical execution, and excel at driving complex initiatives through close cross-functional collaboration with product and engineering partners.
What You’ll Do- Build, scale, and optimize statistical, mathematical programming, and ML models for dynamic pricing applications.
- Generate data insights to identify opportunities to enhance algorithm performance.
- Develop novel experimentation and causal inference methodologies tailored to complex, highly interconnected marketplace settings.
- Collaborate deeply across disciplines with Product, Engineering, and Operations to identify growth opportunities, align on key success metrics, and drive systems end-to-end from ideation to production.
- Translate granular marketplace data and complex optimization results into clear, actionable business strategies for leadership.
- Unblock technical and operational barriers by designing robust diagnostic tools, logging infrastructure, and marketplace metrics.
- Ph.D., M.S., or Bachelor's degree in Operations Research, Data Science, Statistics, Economics, Mathematics, Computer Science, or equivalent quantitative field.
- 5+ years of professional industry experience as an Applied Scientist, Data Scientist, Economist, or equivalent (or 3+ years with a Ph.D.).
- Strong foundation in at least one key domain: control theory, mathematical optimization, statistical inference, machine learning, econometrics.
- Proficiency in Python/R and SQL for large-scale data analysis and algorithmic prototyping.
- Experience in designing, analyzing, and interpreting complex experiments across key marketplace performance indicators.
- 6+ years of industry experience applying data science, optimization, or economics in dynamic marketplace or pricing environments.
- Demonstrated success partnering closely with Product, Engineering, and Operations partners to deploy algorithms into production.
- Hands-on experience building large-scale pricing, auction, advertising, or supply-demand matching algorithms.
- Proven track record of navigating ambiguity and communicating technical concepts clearly to non-technical business partners.
For New York City, NY-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
About UsReady to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
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.
Uber San Francisco, California, USA Office
Uber's a hybrid work environment and employees target spending 50% of their time in the office.
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