
Senior Scientist, Fares
Uber · San Francisco, CA, United States · Sunnyvale, CA, United States · Seattle, WA, United States
Strong hiring record · median 26 days open
Hiring signal
Actively hiring
Still listed on the employer's own board · publishes a salary range · How we score
All reasons
In its favour
- Still listed on the employer's own board
- Publishes a salary range
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.
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