Staff Data Scientist, EGRI

LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact.

The Economic Graph team’s mission is to uplevel our insights about the global workforce, to empower LinkedIn to help our members advance their careers, and to become a thought leader about economic opportunity. Our team leverages LinkedIn's unique data to better understand economic trends around the world while also utilizing economic approaches to analyze member behavior on LinkedIn. Our work on experimentation, economic analysis, and data insights empowers teams across LinkedIn to make data-driven strategic decisions.

This role is hybrid, based in Sunnyvale, CA, and will be performed both from home and from a LinkedIn office on select days, as determined by business needs.

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 visualizations 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.

Requirements

• Bachelor or higher degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
• 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.

Preferred Qualifications

• Experience with manipulating massive-scale structured and unstructured data.
• Proven record writing and optimizing code with high levels of craftsmanship, and coaching others to improve technical outputs.
• Working knowledge of Unix command-line/shell, git, and review board.
• Experience leveraging government data or publicly available third-party APIs.
• Experience mentoring other data scientists in an official or unofficial capacity.
• Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives, and compile compelling narratives.

Skills

• SQL
• Python
• Statistical Analysis
• Data Storytelling
• Data Interpretation

Benefits

LinkedIn strongly believes in the well-being of our employees and their families. We offer generous health and wellness programs and time away for employees of all levels.

Pay

The pay range for this role is $144,000 - $236,000. Actual compensation packages are based on several factors unique to each candidate, including skill set, depth of experience, certifications, and specific work location.