End-to-end product development from a data, analytics, modeling, and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments.
We are building the future of Uber's mobility and logistics platforms. Our teams drive innovation across critical areas including:
- A central pillar of Uber’s delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for running an efficient marketplace with dispatch & pricing decisions.
- We enhance user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform.
- Solve ambiguous, challenging business problems using data-driven approaches including ML, Optimization, Causal Inference.
- Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.
- Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
- Design and analyze experiments, and present results that provide actionable recommendations.
- Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization, and diagnostic tools, and experimentation paradigms.
- Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.
- Own the product development cycle end to end from data and science aspects.
- Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
- 4+ years of industry experience as an Applied or Data Scientist or equivalent (or 2+ years with Ph.D.).
- Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)
- Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models
- Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.
- Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators
- Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields.
- Excellent communication and collaboration skills: Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
- Experience in leading key technical projects and substantially influencing the scope and output of others
- Thought leadership to drive multi-functional projects from concept to production.
- Experience in large-scale marketplace algorithm design, membership / consumer growth, or experimentation platform.
- Experience with exploratory data analysis, statistical analysis and model development
- Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala
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.
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 Ph.D. degree in Economics, Statistics, Machine Learning, Operations Research, or another quantitative field
- 4+ years of industry experience as an applied or data scientist or equivalent, or 2+ years with a Ph.D.
- Background in at least one programming language, such as Python, R, Java, Ruby, Scala/Spark, or Perl
- Ability to use Python or similar technologies to work with large datasets and prototype algorithms and models
- Coding and SQL proficiency
- Ability to develop statistical analysis and algorithm prototypes in Python or R
- Ability to design experiments and interpret results across key performance indicators
- Ph.D. in Economics, Statistics, Machine Learning, Operations Research, or another quantitative field
- Excellent communication and collaboration skills
- Experience leading technical projects and influencing the scope and output of others
- Experience driving multifunctional projects from concept to production
- Experience with large-scale marketplace algorithm design, membership or consumer growth, or experimentation platforms
- Experience with exploratory data analysis, statistical analysis, and model development
- Strong programming skills in Python, R, Java, Go, or Scala
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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