Senior Data Scientist, Economic Insights & Strategy

LinkedIn; Sunnyvale (CA); Hybrid; USD 144,000 - 236,000; Full time

Job summary

LinkedIn’s Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools to drive engagement, growth, and monetization. The role combines technical leadership with crafting compelling narratives to influence executives and partners.

The position is hybrid, based in Sunnyvale, CA, with collaboration across product, marketing, sales, engineering, policy and operations to deliver measurable business impact.

Qualifications

• Bachelor or higher degree in a quantitative discipline.
• 5+ years of relevant work experience.
• Experience influencing strategy through data-centric presentations.
• Experience in SQL.
• Background in at least one programming language (e.g., R, Python, Scala).
• Experience in applied statistics and statistical modeling in at least one statistical software package.
• Experience telling stories with data and visualization tools.
• Experience running platform experiments and techniques like A/B testing.

Responsibilities

• Partner with cross-functional teams to initiate, lead and drive to completion large-scale/complex strategic projects for teams, departments and the company.
• 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.
• Design 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.
• Mentor junior members of the team.

Skills

SQL

Python

Statistical Analysis

Data Storytelling

Data Interpretation

A/B testing

Education

Bachelor's degree or higher in a quantitative discipline

Tools

Unix command-line

Git

Review Board

Job description

LinkedIn’s Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools to drive engagement, growth, and monetization. The role combines technical leadership with crafting compelling narratives to influence executives and partners.

The position is hybrid, based in Sunnyvale, CA, with collaboration across product, marketing, sales, engineering, policy and operations to deliver measurable business impact.