{"id":1729193,"url":"https://alion.io/job/uber-senior-scientist-fares","title":"Senior Scientist, Fares","company":{"id":230,"name":"Uber","domain":"uber.com","url":"https://alion.io/company/uber","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":92,"open_postings":132,"ghost_share":0,"stale_share":0.477,"repost_share":0.061,"time_to_fill_p50_days":8,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":190000,"max":211000,"currency":"USD","period":"year","gross":null,"usd_annual":211000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-02T22:32:27Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-20T23:43:12Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"About the Role\nThe 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.\nAs 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.\nWhat the Candidate Will Do\nRefine ambiguous questions and generate data backed hypotheses through a deep understanding of the data, systems, customers and business.\nUse experiments and causal inference methods to validate the hypothesis and drive business goals critical to Uber’s success.\nAct as a thought partner with cross-functional teams across various disciplines, including product, engineering, and operations, to drive product strategy.\nInfluence the product roadmap for fares and several cross-organizational teams (like maps, matching, growth, UX, Ops).\nBuild ML models to solve complex problems and create AI agents to automate data science workflows.\nCommunicate findings clearly to technical and non-technical leadership to influence decisions and product direction.\nBasic Qualifications\nPh.D., M.S., or Bachelors degree in Computer Science, Statistics, Economics, Machine Learning, or other quantitative fields.\n3+ years of industry experience as an Applied or Data Scientist or equivalent.\nExperience with experiment design, exploratory data analysis, causal inference and model development.\nProficient in both a data ETL language (e.g. SQL) and a scripting language (e.g. Python, R).\nPreferred Qualifications\n5+ years of industry experience as an Applied or Data Scientist or equivalent.\nExperience using statistical methodologies in platform, marketplace or consumer domains.\nDemonstrated ability to leverage data and systems thinking for storytelling and root cause analysis.\nExcellent communication skills: able to lead initiatives across multiple areas and communicate findings with leadership.\n For San Francisco, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.\nFor Seattle, WA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.\nFor Sunnyvale, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.\nFor 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. 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