About the Role
The Fares platform team powers the fares for all of Uber - that’s all riders, earners and eaters across the Uber and Uber Eats app. With $190B+ in gross bookings processed by the fares platform annually, we solve high impact problems which are critical to Uber’s success.
As a Scientist on this team, you will leverage experiment design, exploratory data analysis, causal inference and model development to solve a wide variety of problems in domains like policy design, user experience, optimization and defect reduction.
What the Candidate Will Do
- Refine ambiguous questions and generate data backed hypotheses through a deep understanding of the data, systems, customers and business.
- Use experiments and causal inference methods to validate the hypothesis and drive business goals critical to Uber’s success.
- Act as a thought partner with cross-functional teams across various disciplines, including product, engineering, and operations, to drive product strategy.
- Influence the product roadmap for fares and several cross-organizational teams (like maps, matching, growth, UX, Ops).
- Build ML models to solve complex problems and create AI agents to automate data science workflows.
- Communicate findings clearly to technical and non-technical leadership to influence decisions and product direction.
Basic Qualifications
- Ph.D., M.S., or Bachelors degree in Computer Science, Statistics, Economics, Machine Learning, or other quantitative fields.
- 3+ years of industry experience as an Applied or Data Scientist or equivalent.
- Experience with experiment design, exploratory data analysis, causal inference and model development.
- Proficient in both a data ETL language (e.g. SQL) and a scripting language (e.g. Python, R).
Preferred Qualifications
- 5+ years of industry experience as an Applied or Data Scientist or equivalent.
- Experience using statistical methodologies in platform, marketplace or consumer domains.
- Demonstrated ability to leverage data and systems thinking for storytelling and root cause analysis.
- Excellent communication skills: able to lead initiatives across multiple areas and communicate findings with leadership.
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.
Skills Required
- Bachelor’s, master’s, or doctoral degree in Computer Science, Statistics, Economics, Machine Learning, or another quantitative field
- At least 3 years of industry experience as an Applied Scientist, Data Scientist, or equivalent
- Experience with experiment design, exploratory data analysis, causal inference, and model development
- Proficiency in a data ETL language such as SQL and a scripting language such as Python or R
- At least 5 years of industry experience as an Applied Scientist, Data Scientist, or equivalent
- Experience applying statistical methodologies in platform, marketplace, or consumer domains
- Ability to use data and systems thinking for storytelling and root cause analysis
- Excellent communication skills and ability to lead cross-functional initiatives and communicate findings to leadership
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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