{"id":3801917,"url":"https://alion.io/job/uber-scientist-ii-tech-science","title":"Scientist II, Tech - Science","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":88,"open_postings":148,"ghost_share":0.034,"stale_share":0.554,"repost_share":0.081,"time_to_fill_p50_days":12,"computed_at":"2026-11-05T05:54:30Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-05T07:33:36Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-05T11:54:15Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the role and team\nWorking in Science at Uber means solving complex, real-world problems that don't always have a textbook solution. You will be part of a team that turns massive amounts of data into actionable insights, influencing everything from marketplace efficiency to user experience. In this role, you’ll be a technical \"detective,\" unpicking data-driven puzzles in a high-stakes, fast-moving environment. You’ll thrive here if you stay calm under pressure, embrace the \"messy\" reality of imperfect datasets, and have the grit to move projects from hypothesis to production.\nThis is a role for an owner who is energized by the challenge of building at scale. You will navigate the ambiguity of shifting priorities and internal complexity, ensuring that our data-driven products are robust, reliable, and grounded in sound statistical principles. If you're sharp, steady, and motivated by meaningful impact at global scale this is where you’ll grow.\nWhat you’ll do\nDevelop data-driven insights and collaborate with cross-functional partners: Product, Engineering, and Operations to identify opportunities and prioritize optimization initiatives.\nBuild statistical and machine learning models to provide strategic insights and real-time production enhancements to global products.\nDesign and analyze experiments using A/B testing and causal inference, presenting results that provide actionable recommendations for product growth.\nDrive technical excellence by creating logging, metrics, and diagnostic tools that orient our teams around data-driven product development.\nDefine success metrics in close partnership with stakeholders to ensure our teams are measuring impact accurately and consistently.\nNavigate technical debt and scale, ensuring our models and data pipelines are designed to be extensible and observable as the business evolves.\nBasic Qualifications\nPh.D., M.S., or B.S. degree in Statistics, Computer Science, Applied Mathematics, Electrical Engineering, Economics, or other quantitative fields.\nIf M.S. degree, a minimum of 2+ years of industry experience required; if B.S. degree, a minimum of 3+ years of industry experience required.\nProficiency in at least one programming language (e.g., Python or R) for statistical analysis and algorithm prototyping.\nExperience working with large-scale datasets (SQL, Python, Spark, or similar) to solve complex business problems.\nProven ability to design experiments and interpret results to drive actionable conclusions.\nPreferred Qualifications\nExceptional Communication Skills: A track record of conveying complex technical findings in a manner that is easy for marketers and non-technical partners to understand.\nSystems Thinking: Demonstrated ability to understand customer problems and translate them into robust system designs and model architectures.\nTechnical Resilience: Experience solving strategically important problems in high-ambiguity environments, often without a predefined playbook.\n Operational Excellence: Familiarity with Spark, Hive, or HDFS for handling 100M+ scale datasets in production.","description_format":"text","description_chars":3086,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Delivery","Freight Forwarding","Online Groceries","Ride Hailing"],"lifecycle":[{"event":"open","at":"2026-11-05T11:54:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":12,"reasons":["conf:4","win:early","comp:brand"],"computed_at":"2026-11-05T16:42:25Z"},"pay":null,"html_url":"https://alion.io/job/uber-scientist-ii-tech-science","json_url":"https://alion.io/job/uber-scientist-ii-tech-science.json","meta":{"generated_at":"2026-11-05T16:42:25Z","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":22087,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"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-tech-science"},{"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-tech-science"},{"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-tech-science"},{"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-tech-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fuber-scientist-ii-tech-science"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3801917}},{"tool":"search_jobs","arguments":{"company":"uber.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3801917},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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