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 pricing, policy design, optimization and defect reduction.
What the Candidate Will Need / Bonus Points
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.
- 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 Statistics, Economics, Machine Learning, Computer Science, or other quantitative fields.
- 3+ years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).
- 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 product areas and communicate findings with leadership.
For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 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. More details can be found at the following link https://jobs.uber.com/en/benefits.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
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.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.