{"id":2527660,"url":"https://alion.io/job/linkedin-staff-data-scientist","title":"Staff Data Scientist","company":{"id":13163,"name":"LinkedIn","domain":"linkedin.com","url":"https://alion.io/company/linkedin","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":149000,"max":245000,"currency":"USD","period":"year","gross":null,"usd_annual":245000},"salary_estimate":null,"experience_years_min":5,"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":"2026-09-16T21:05:29Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-15T02:31:11Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"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.\n This role is based in Mountain View, CA.\nAt 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 create a deep understanding of our members through data, we design experiments, build metric frameworks, and partner with PM, Engineering, and Design to ship features that create real economic opportunity for members - including the next generation of AI-powered experiences.\nWe're hiring a Staff Data Scientist to set technical direction across a product pillar. You'll be the person deciding which questions are worth answering, building the measurement frameworks the team uses to answer them, and bringing senior leaders along through clear analytical arguments. At the staff level, you’ll be expected to bring deep domain expertise, product intuition and a deep data science tool kit (programming, statistics, analytics) to bear to create initiatives that deliver direct business impact and to drive strategy.\nConcretely, you might define how a pillar measures long-term member value, lead a working group on evaluating AI-powered product experiences, collaborate with AI colleagues to set the roadmap for AI systems, or build the attribution methodology our team standardizes on for the next two years.\nYou'll partner with PM and Engineering leadership, mentor senior DS, and have strong opinions about how this work should be done.\nWhat we're looking for:\nA track record of org-level analytical impact (frameworks, methodologies, or measurement systems that outlast the project they were built for)\n\nDeep technical expertise: you may have expertise in experimentation and causal inference, or in ads attribution, or in modeling. You write efficient python and SQLcode and can mentor others\n\nDeep domain expertise that is relevant for LinkedIn’s business, e.g. from social media, or online marketplaces, or b2b advertising or sale.\n\nThe ability to make a quantitative argument that changes a director-level decision\n\nA point of view on how DS should evolve as products become AI-native\n\nDemonstrated growth of senior DS through mentorship and technical leadership\n\nResponsibilities\nDesigns and performs impactful data-driven experiments and causal analyses to test and validate new product ideas or go-to-market strategies, develop deeper ecosystem understanding, inform measurement framework scalability, and monitor current products or systems.\n\nEvaluates A/B and causal tooling for less obvious, yet impactful 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\nConceptualizes, defines, and socializes foundational metrics to set organizational goals and scale with AI to democratize data-driven decision-making.\n\nAnalyzes and interprets internal, complex, unstructured and/or structured datasets, potentially connected with external sources or cross-line-of-business information, to assess business health and understand what drives business outcomes.\n\nExplores internal, complex artificial intelligence (AI) models and systems to create understanding and visibility into how they work, how they are tracked, and how they can be improved.\n\nDrives AI system roadmaps through continual assessment of model performance and refinement of LLM systems and models.\n\nDrives data science best practices and principles through all phases of development of customized and/or scalable data solutions.\n\nAdvises relevant partners and internal customers on scoping data-driven investigations and experiments, providing strategic recommendations for what best to prioritize to achieve intended strategy.\n\nDrives alignment and proactively communicates with Data Science teams and business functions.\n\nIdentifies patterns of user behavior leveraging advanced data mining techniques and makes data-informed recommendations to internal partners.\n\nCreates compelling, data-centric stories and recommendations based on analytical findings to influence and shape internal customers' strategic direction and decision-making.\n\n Basic Qualifications\nBachelor or higher degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.\n\n5+ years of relevant work experience.\n\nExperience influencing strategy through data-centric presentations .\n\nExperience in SQL.\n\nBackground in at least one programming language (e.g., R, Python, Scala).\n\nExperience in applied statistics and statistical modeling in at least one statistical software package.\n\nExperience telling stories with data and visualization tools\n\nExperience running platform experiments and techniques like A/B testing\n\nPreferred Qualifications\nMaster's Degree or Doctorate in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or related field.\n\nSuggested Skills\nStakeholder Management\n\nInfluencing for Impact\n\nStrategic Thinking\n\nLinkedIn is committed to fair and equitable compensation practices.\nThe pay range for this role is $149,000 - $245,000. 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.\nThe total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://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":9733,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Job Boards & Aggregators","Professional Networks"],"lifecycle":[{"event":"open","at":"2026-10-14T12:24:37Z"}],"visa":[],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.686,"p_room":0.55,"age_days":28,"expected_fill_days":28,"reasons":["conf:0","win:tail","comp:brand"],"computed_at":"2026-10-15T02:55:37Z"},"pay":{"stated_usd_annual":245000,"is_top_pay":true},"html_url":"https://alion.io/job/linkedin-staff-data-scientist","json_url":"https://alion.io/job/linkedin-staff-data-scientist.json","meta":{"generated_at":"2026-10-15T02:55:37Z","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":4314,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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-staff-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-staff-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-staff-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-staff-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flinkedin-staff-data-scientist"}]}