{"id":2527705,"url":"https://alion.io/job/linkedin-staff-data-scientist-applied-science","title":"Staff Data Scientist, Applied Science","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":58000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-09-02T02:37:47Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-14T19:14:12Z","board_verified":true,"closed_at":null,"days_open":42,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":42},"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 LinkedIn’s Data Science team leverages big data to develop data-driven solutions for LinkedIn’s Infrastructure organization. LinkedIn’s infrastructure is the backbone of our operations, encompassing data centers, servers, network infrastructure, power systems, and foundational software platforms that power all our products and services. A career at LinkedIn offers countless ways for an ambitious data scientist to have an impact.\nThis role involves guiding the Experimentation Platform team in developing a statistically correct, flexible, and powerful platform for online experimentation. You will be the statistical voice and technical lead, co-designing a new AI experimentation experience and backend, ensuring high-level functionality like hierarchical experimentation and statistical correctness guardrails. You will be in charge of developing and integrating a variety of experiment analysis techniques, including more powerful variance reduction methods, quantile treatment effect analysis, and cross-experiment analysis. Finally, you will help drive expansion of platform capabilities into additional experiment designs, such as cluster-randomized designs and budget split testing.\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.\nResponsibilities:\nCo-design the new AI experimentation experience and the backend that powers it.\nCollaborate cross-functionally to identify business opportunities and develop algorithms and methodologies to address them.\nAnalyze large-scale structured and unstructured data.\nDevelop methodologies to enhance LinkedIn’s online experimentation capabilities.\nEngage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights.\nPromote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn.\nInitiate and drive projects to completion independently.\nAct as a thought partner to senior leaders to prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals.\nPartner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company.\nProvide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews.\nBasic Qualifications:\nMS or PhD in a quantitative discipline: Statistics, Economics, Applied Mathematics, Operations Research, Computer Science, Informatics, or other quantitative field relevant to the science of experimentation.\nExpertise in statistics, including analysis of bias and variance for experimental design and analysis approaches.\nFluent in at least one programming language and a capable user of AI software engineering tools.\nAbility to establish requirements and design a new system for a broad set of users.\n3+ years in a position that includes substantial technical leadership. 10+ years of total experience\nPreferred Qualifications:\nExperience in infrastructure/platform development.\nAbility to collaborate with and shape technical solutions for a broad set of customers and stakeholders.\nSuggested Skills:\nStructured thinking around bias\nUnderstanding of AI Experimentation\nLeadership\n India Disability Policy\nLinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf\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":4829,"description_truncated":false,"requirements":{"experience_years_min":10,"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":"India","iso":"IN","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":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.605,"p_room":0.36,"age_days":42,"expected_fill_days":28,"reasons":["conf:1","win:tail","crowd:brand"],"computed_at":"2026-10-14T20:20:07Z"},"pay":null,"html_url":"https://alion.io/job/linkedin-staff-data-scientist-applied-science","json_url":"https://alion.io/job/linkedin-staff-data-scientist-applied-science.json","meta":{"generated_at":"2026-10-14T20:20:07Z","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":26914,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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-applied-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%2Flinkedin-staff-data-scientist-applied-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%2Flinkedin-staff-data-scientist-applied-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/linkedin-staff-data-scientist-applied-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flinkedin-staff-data-scientist-applied-science"}]}