Senior Staff Data Scientist, Flagship
Job Description
Location:
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval.
This role will be based in Sunnyvale CA, Bellevue WA, New York NY, or Remote.
Team Overview:
The Flagship Growth Data Science team focuses on accelerating LinkedIn Growth with strategic and actionable insights and measurement in close collaboration with the rest of the Growth R&D; team. System Insights DS team focuses on deepening understanding of and identifying opportunities in the intricate AI systems across Flagship. We work across different Growth and Flagship Experience areas including SEO/AEO, login/signup, new members, notifications, email, networking, Feed, Search, etc. and collaborate with cross-functional partners in Product, Engineering, AI, Marketing, Business Development, Design and UER teams.
Responsibilities:
Serve as Technical Lead for Flagship Growth and AI System Insights Data Science team of 15-20 of Data Scientists. Beyond product ops & strategy and experimentations, this individual will also be leading initiatives across AI model diagnostics & enhancements, LLM-as-a-judge evaluation, and productivity improvements through AI-powered tooling.
• Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals.
• Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews.
• Drive org-wide impact by shaping product and business strategy through data-centric presentations.
• Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or go to market strategy.
• Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models to drive member value and customer success.
• Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business and product insights.
• Develop and analyze experiments to test new product ideas or go to market strategies. Convert the results into actionable recommendations. Independently craft compelling stories; make logical recommendations; drive informed actions.
• Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights.
Requirements
Department: Engineering
Experience Level: Mid-Senior Level