Staff Data Scientist

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.

LinkedIn'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.

We'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.

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.

What we're looking for:

• 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

• A point of view on how DS should evolve as products become AI-native

• Demonstrated growth of senior DS through mentorship and technical leadership

Responsibilities

• Designs 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.