Staff Data Scientist
LinkedIn · Posted Oct 21
Professional networking, job search, recruiting, online learning, and B2B marketing services
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About the role
LinkedIn Learning Solutions Engineering India is an AI-first organization building scalable systems and consumer-grade experiences that connect skills, learning, career growth, and internal mobility across LinkedIn Learning and the enterprise Career Hub. The role sits on a data science team that partners with product managers, engineers, and design to drive LinkedIn membership growth and engagement for international products across more than 200 countries. The Staff Data Scientist will analyze large-scale professional data, formulate success metrics, design and analyze experiments, and develop models that improve product performance.
What you will do
- We inform product strategy, influence the product roadmap, and guide product decisions by Accessing and analyzing the world's richest professional data to generate insights and make proactive recommendations.
- Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.
- Designing and analyzing experiments to test new product ideas.
- Developing models and data-driven solutions that add material lift to principal performance metrics.
Skills used in this role
What the employer is looking for
- BS/MS in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, etc.
- 10+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package.
- 10+ years of experience in a Unix/Linux environment for automating processes with shell scripting.
Preferred qualifications
- Experience with Consumer Internet products.
- Experience programming in Python, Java, or another programming language - Pig experience desired but not required.
- Ability to translate business objectives into actionable analyses.
- Ability to communicate findings clearly to both technical and non-technical audiences
- Knowledge in one of the following areas is a strong plus: Viral Growth mechanisms, user acquisition in International markets, Search Engine Optimization (SEO)
- Expertise in applied statistics, understanding of controlled experiments.
- Cross-cultural background and experience
Benefits and support
- Compensation and benefits are detailed in the job posting
About LinkedIn
LinkedIn is the world's largest professional network, connecting over a billion users globally to create economic opportunity. Owned by Microsoft, the platform provides tools for job searching, professional networking, B2B marketing, sales intelligence, and online learning. Through its data graph, it bridges the gap between global talent and enterprise organizations.
- Industry
- Professional Network
- Company size
- 10001+ employees
- Founded
- 2003-05-05
- Location
- Sunnyvale, California, USA
- Funding stage
- Public Company
Funding
Public Company · $103.5M raised
- 2003-11-01Seed$4.7M
- 2004-08-01Series A$10M
- 2007-01-15Series B$53M
- 2008-06-01Series C$22.7M
- 2014-05-15Post Ipo Debt$500M
Leadership
Chief Executive Officer
EVP of LinkedIn and Microsoft Office
President of Platforms and Digital Work
Senior Vice President & Chief Financial Officer
Senior Vice President & Chief Business Officer
Recent coverage
LinkedIn News
LinkedIn Appoints Daniel Shapero as New Chief Executive Officer2026-04-22
Reuters
LinkedIn Cuts Roughly 5% of Staff in Workforce Realignment2026-05-13
LinkedIn Pressroom
LinkedIn Global Membership Surpasses 1.3 Billion Users2026-06-01