Senior Staff Data Scientist, Flagship

LinkedIn•Mountain View, CA

9d•$174,000 - $286,000•Hybrid

About The Position

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.

Requirements

7+ years of relevant work experience as a Data Scientist, Applied Scientist, or Data Engineer.
Bachelor or higher degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
Experience influencing strategy through data-centric presentations .
Experience in SQL, Python, and/or additional programming languages such as R and Scala.
Experience in applied statistics and statistical modeling in at least one statistical software package.
Experience running platform experiments and techniques like A/B testing

Nice To Haves

At least (3) years of technical, thought, and/or team leadership experience in Data Science, Applied Science, Business Analytics, or Data Engineering.
Master’s or PhD degree in Statistics, Data Science, Engineering, Economics, Mathematics, or a related discipline.
Experience with manipulating massive-scale structured and unstructured data.
Experience mentoring and providing technical or thought leadership for other data scientists
Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives.

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.