{"id":1157352,"url":"https://alion.io/job/uber-scientist-ii-marketplace-multiple-teams","title":"Scientist II - Marketplace (Multiple Teams)","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":136,"ghost_share":0,"stale_share":0.463,"repost_share":0.066,"time_to_fill_p50_days":8,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"middle","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":161000,"max":179000,"currency":"USD","period":"year","gross":null,"usd_annual":179000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false},{"name":"Ruby","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Go","optional":true}],"status":"live","first_seen_at":"2026-09-23T20:46:15Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-21T16:01:51Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"About the Team\nWe are hiring for Scientist II across multiple teams, including delivery logistics (matching), membership, maps and experimentation.\nThe Delivery Logistics (matching) science team is responsible for building various large-scale technologies which power our global marketplace. These include designing real-time backend matching & scheduling systems, creating new delightful user experiences via different delivery options with intelligent pricing, and serving predictions such as estimated time to delivery (ETD) used for decision making across the marketplace for various pricing systems.\nThe Membership science team is responsible for designing quantitative models to grow the Uber One program which offers benefits spanning across both Rides and Eats. These include causal ML models to determine the best setup of benefits, acquisition funnels and churn preventions, and novel experimentation designs and analyses to understand long-term value of membership.\nThe Maps science team is responsible for solving some of the largest, most challenging modeling problems in Uber, including travel time prediction (ETA), traffic prediction, route recommendation, navigation, search & ranking, pickup & dropoff recommendation, location intelligence, trip intelligence. The outputs of these models power the core trip flow experience for all products in the Rides & Eats businesses, and core internal decision systems such as pricing and matching.\nThe Experimentation science team is responsible for building the experimentation platform and the underlying measurement models at Uber, providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem.\nWhat you will do\nSolve ambiguous, challenging business problems using data-driven approaches including ML, Optimization, Causal Inference. \nDevelop and implement statistical / econometric methodologies to improve results validity, power and generalizability.\nDevelop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.\nDesign and analyze experiments, present results that provide actionable recommendations.\nOrient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.\nDefine how our teams measure success, by developing metrics, in close partnership with cross functional partners.\nOwning the product development cycle end to end from data and science aspects.\nBasic Qualifications\nPh.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.\n4+ years of industry experience as an Applied or Data Scientist or equivalent (or 2+ years with Ph.D.).\nBackground in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)\nAbility to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models\nCoding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.\nDesign experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators\nPreferred Qualifications\nPh.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields.\nExcellent communication and collaboration skills: Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams\nExperience in leading key technical projects and substantially influencing the scope and output of others\nThought leadership to drive multi-functional projects from concept to production.\nExperience in large-scale marketplace algorithm design, membership / consumer growth, or experimentation platform. \nExperience with exploratory data analysis, statistical analysis and model development\nStrong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala\n For San Francisco, CA-based roles: The base salary range for this role is USD $161,000 per year - USD $179,000 per year.\nYou 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.","description_format":"text","description_chars":4493,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketplaces","Transportation & Logistics","Ride Hailing"],"lifecycle":[{"event":"open","at":"2026-09-23T22:09:21Z"}],"visa":[],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.481,"p_room":0.35,"age_days":27,"expected_fill_days":8,"reasons":["conf:1","velocity","win:tail","comp:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":179000,"is_top_pay":true},"html_url":"https://alion.io/job/uber-scientist-ii-marketplace-multiple-teams","json_url":"https://alion.io/job/uber-scientist-ii-marketplace-multiple-teams.json","meta":{"generated_at":"2026-10-21T20:53:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":29719,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":230},"rest":"https://alion.io/mcp/rest/get_company?id=230"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fuber-scientist-ii-marketplace-multiple-teams"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fuber-scientist-ii-marketplace-multiple-teams"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fuber-scientist-ii-marketplace-multiple-teams"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/uber-scientist-ii-marketplace-multiple-teams\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fuber-scientist-ii-marketplace-multiple-teams"}]}