{"id":2527746,"url":"https://alion.io/job/linkedin-senior-data-scientist","title":"Senior Data Scientist","company":{"id":13163,"name":"LinkedIn","domain":"linkedin.com","url":"https://alion.io/company/linkedin","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125000,"max":205000,"currency":"USD","period":"year","gross":null,"usd_annual":205000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-25T19:09:59Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-16T01:09:31Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun - where everyone can succeed.\nJoin us to transform the way the world works.\n At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.\nLinkedIn's Data Science team turns member and customer behavior into product decisions across one of the world's largest professional networks. We design experiments, investigate metric movements, and partner with PM and Engineering to ship features that create real economic opportunity for members, including the next generation of AI-powered experiences.\nWe're hiring a Senior data scientist to own ambiguous, high-impact problems end-to-end. You’ll use your strong statistical intuition and well-honed data science tool kit to answer open-ended problems like defining long-term retention or marketplace value. You’ll define the metrics that guide product strategy, dive deep into marketplaces and evaluate AI-native features as they ship. You'll work closely with engineers and PMs to translate findings into roadmap decisions.\nResponsibilities\nDesigns and performs data-driven experiments and causal analyses to test and validate new product ideas or go-to-market strategies, develop ecosystem understanding, and monitor current products or systems.\n\nEvaluates A/B and causal tooling for discernable gaps and potentially partners with Applied Sciences teams to create A/B and causal test protocols and methods and analyze ramp performance to help optimize new and/or existing features or models.\n\nLeverage AI tools in day-to-day workflows to increase productivity\n\nPartners with internal customers to translate business problems into data-verifiable hypotheses.\n\nDevelops and employs models and causal analyses (e.g., panel analysis, A/B testing) to determine what drives metric relationships and create actionable insights within moderately complex product domains.\n\nIndependently diagnoses issues and identifies opportunities to drive improvements within AI/LLM systems.\n\nPrototypes data solutions, and/or collaborates with relevant partners (e.g., Data Science teams, Engineering) to operationalize, build, and validate scalable tools/applications/solutions for use by internal customers to convert data into insights.\n\nEmbeds data science best practices and principles through all phases of development of customized and/or scalable data solutions, providing feedback to junior team members.\n\nCommunicates with relevant partners and internal customers on scoping data-driven investigations and experiments, contributing to recommendations for what best to prioritize to achieve intended strategy.\n\nDevelops and runs predictive models for estimating the impact of initiatives on identified KPIs.\n\nIndependently creates compelling, data-centric stories based on analytical findings to contribute to internal customers' decision-making.\n\n Basic Qualifications\nBachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.\n3+ years of relevant industry or relevant academia experience working with large amounts of data\nExperience influencing strategy through data-centric presentations.\nExperience in SQL.\nBackground in at least one programming language (e.g., R, Python, Scala).\nExperience in applied statistics and statistical modeling in at least one statistical software package.\nExperience telling stories with data and visualization tools.\nExperience running platform experiments and techniques like A/B testing.\nPreferred Qualifications\nMaster's Degree or Doctorate in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or related field.\n\nExperience with SQL & Python, experimentation (design, analysis, variance reduction),\n\nExperience with causal inference methods;\n\nProduct intuition for two-sided marketplaces\n\nClear written communication\n\nAbility to understand how to measure AI-powered product experiences.\n\nSuggested Skills\nCommunication\n\nDecision Making\n\nData Science\n\nDomain Knowledge and Skills\n\nStrategic Thinking\n\nYou will Benefit from our Culture\nWe strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $125,000 to $205,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visithttps://careers.linkedin.com/benefits.\n Equal Opportunity Statement\nWe seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.\nLinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.\nIf you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.\nFill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36\nReasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:\nDocuments in alternate formats or read aloud to you\nHaving interviews in an accessible location\nBeing accompanied by a service dog\nHaving a sign language interpreter present for the interview\nA request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.\nLinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.\nSan Francisco Fair Chance Ordinance\nPursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.\nPay Transparency Policy Statement\nAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.\nGlobal Data Privacy Notice and Compliance Posters for Job Candidates\nPlease use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.","description_format":"text","description_chars":8765,"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":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Job Boards & Aggregators","Professional Networks"],"lifecycle":[{"event":"open","at":"2026-10-14T12:24:37Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.519,"p_room":0.28,"age_days":50,"expected_fill_days":20,"reasons":["conf:3","win:tail","crowd:brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":{"stated_usd_annual":205000,"is_top_pay":true},"html_url":"https://alion.io/job/linkedin-senior-data-scientist","json_url":"https://alion.io/job/linkedin-senior-data-scientist.json","meta":{"generated_at":"2026-10-16T04:08:29Z","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":799,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":13163},"rest":"https://alion.io/mcp/rest/get_company?id=13163"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flinkedin-senior-data-scientist"},{"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%2Flinkedin-senior-data-scientist"},{"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%2Flinkedin-senior-data-scientist"},{"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/linkedin-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flinkedin-senior-data-scientist"}]}