Hiring: Staff Data Scientist Company: LinkedIn Location: Mountain View, CA Job Posted Time: 2026-09-16 22:06:25 Employment Type: Hybrid Target Skills & Keywords : A/B Testing, AI, LLM, Python, R, SQL, Scala, Stakeholder Management About the job Experience: •5+ years of relevant work experience. Required Skills: •This role is based in Mountain View, CA. •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. •Concretely, 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. •You'll partner with PM and Engineering leadership, mentor senior DS, and have strong opinions about how this work should be done. •A track record of org-level analytical impact (frameworks, methodologies, or measurement systems that outlast the project they were built for) •Deep 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 •Deep domain expertise that is relevant for LinkedIn’s business, e.g. from social media, or online marketplaces, or b2b advertising or sale. •The ability to make a quantitative argument that changes a director-level decision Qualifications: •Bachelor or higher degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. •Background in at least one programming language (e.g., R, Python, Scala). •Master's Degree or Doctorate in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or related field. Compensation: •$149,000 - $245,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!