About the role and team
Being a Staff Scientist at Uber means solving the complex, global-scale puzzle of how millions of people and things move in the real world. You aren't just an individual contributor; you are a technical multiplier operating at the high-stakes intersection of digital systems and physical movement. Whether you are architecting next-generation marketplace mechanisms or defining the experimentation guardrails for a whole product area, you will be working where performance and scale can’t be separated.
This is a high-impact leadership role that requires navigating extreme ambiguity and making smart decisions with imperfect information. You won't just build models; you will set the scientific strategy for entire organizations, mentoring the next generation of scientists and influencing executive-level roadmaps. If you are a pragmatist who thrives on solving "unsolvable" problems and taking full ownership of outcomes in a fast-paced, high-accountability environment—this is where you’ll make your mark.
What you’ll do
- Translate strategically important, unstructured problems into rigorous experiments and productionized solutions that move the needle for Uber’s global business.
- Lead the architecture and design of next-generation algorithms, role-modeling coding best practices and promoting the adoption of key frameworks across the organization.
- Set the science strategy and experimentation standards across multiple teams, ensuring scientific rigor and driving organization-wide adoption of best practices.
- Act as a technical multiplier , identifying opportunities for better performance, efficiency, and reduction of technical debt in software, models, and processes.
- Influence executive-level roadmaps by presenting complex technical findings and long-term strategic recommendations to senior leadership.
- Own the technical trajectory of critical product areas, ensuring solutions are designed to be extensible, modular, and observable while balancing short-term needs and long-term productivity.
Basic Qualifications
- Ph.D., M.S., or B.S. degree in Statistics, Computer Science, Applied Mathematics, Operations Research, Economics, or other quantitative fields.
- If M.S. degree, a minimum of 6+ years of industry experience required; if B.S. degree, a minimum of 8+ years of industry experience required.
- Deep expertise in statistical inference and experimental design (e.g., A/B, switchbacks, cluster-randomized trials).
- Proficiency in SQL and Python to work efficiently with large-scale datasets and distributed tools (e.g., Spark, Hive, Presto).
Preferred Qualifications
- Technical Vision: A track record of foreseeing architectural or scientific problems 12+ months out and addressing them before they impact the business.
- Impact & Scale: Experience leading multi-quarter, cross-functional initiatives that moved significant marketplace or financial metrics in production.
- Technical Brand: Recognized as a technical leader who can inspire and rally engineers/scientists around a vision while making tough trade-offs with a bias for action.
- Domain Mastery: Specialized expertise in Causal Inference at scale, Marketplace Optimization, or ML System Design for high-throughput environments.
For Seattle, WA-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.
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.
Skills Required
- Ph.D., M.S., or B.S. degree in Statistics, Computer Science, Applied Mathematics, Operations Research, Economics, or another quantitative field
- For M.S. degree holders, 6 or more years of industry experience
- For B.S. degree holders, 8 or more years of industry experience
- Deep expertise in statistical inference and experimental design, including A/B testing, switchbacks, or cluster-randomized trials
- Proficiency in SQL and Python
- Experience working with large-scale datasets and distributed tools such as Spark, Hive, or Presto
- Experience anticipating architectural or scientific problems at least 12 months ahead
- Experience leading multi-quarter, cross-functional initiatives that improved marketplace or financial metrics in production
- Recognized technical leadership and ability to align engineers and scientists around a vision
- Specialized expertise in causal inference at scale, marketplace optimization, or ML system design for high-throughput environments
Uber Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.
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Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
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Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
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Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.
Uber Insights
What We Do
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.
Why Work With Us
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.
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