[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Uber jobs](https://jobs.opennash.com/companies/uber/) · [Search jobs](/search/) Uber · San Francisco, CA # Senior Scientist, Fares San Francisco, CA, United States Full-time Senior individual contributor $190,000 per year Research & Science Listed on Uber’s official careers site. Posted October 2, 2026. Check that it is still open and apply there. [Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/303008) [OpenNash Jobs](https://jobs.opennash.com/) / [Uber](https://jobs.opennash.com/companies/uber/) / Senior Scientist, Fares ## Job description 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. ## Responsibilities ### 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 Sunnyvale, CA-based roles 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. ## At a glance - Posted by the employer: Oct 2, 2026 - First seen by OpenNash: Oct 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 17 days - Location: San Francisco, CA, United States - Employment type: Full-time - Pay: $190,000 per year[Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/303008) ## More jobs at Uber ### [Scientist II - Marketplace (Multiple Teams)](https://jobs.opennash.com/companies/uber/jobs/fd59522f8aedf8d9f136/) San Francisco, CA, United States ### [Sr Scientist, Tech - Science](https://jobs.opennash.com/companies/uber/jobs/0b75bcd469d7514f3f61/) San Francisco, CA, United States ### [Staff Scientist, Tech - Science](https://jobs.opennash.com/companies/uber/jobs/1c201e449cbc30fe0ecf/) San Francisco, CA, United States ### [Account Executive - SMB Grocery and Retail, Alcohol](https://jobs.opennash.com/companies/uber/jobs/ac545b77b3462e0a044a/) San Francisco, CA, United States ### [Account Manager I, Eats SMB](https://jobs.opennash.com/companies/uber/jobs/d9c0480df146c5432914/) San Francisco, CA, United States ## Similar jobs at other companies ### [Scientist III, Data Scientist, Bioprocess Digital Twin](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/75eda90db7dc37e1f8e3/) Thermo Fisher Scientific · Grand Island, New York, United States of America ### [Principal Scientist - Clinical and Scientist Affairs](https://jobs.opennash.com/companies/estee-lauder/jobs/43565c1b8fd39effa929/) The Estée Lauder Companies · Melville, NY, US, United States ### [Fermentation Scientist](https://jobs.opennash.com/companies/cargill/jobs/15aa6e6161e0f11a6004/) Cargill · Plymouth, Minnesota ### [Food Scientist](https://jobs.opennash.com/companies/cargill/jobs/9bc21217428a766ce73f/) Cargill · Wichita, Kansas ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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