Senior Data Scientist

About the role

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, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career.

Responsibilities

• Partner with cross-functional teams to contribute towards completion of large-scale/complex strategic projects for teams, departments and the company.
• Drive 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.
• 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.

Qualifications

• Basic Qualifications: Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc. 3+ years of relevant industry or relevant academia experience working with large amounts of data.
• 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

• BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience working with large amounts of data.
• MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
• Experience with manipulating massive-scale structured and unstructured data.
• Working knowledge of Unix command-line/shell, git and review board.
• Experience leveraging government data or publicly available third-party APIs.
• Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience.

Suggested Skills

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

Benefits

We offer a competitive salary range of $121,000.00 to $198,000.00, which is commensurate with experience. LinkedIn is committed to fair and equitable compensation practices and offers a comprehensive benefits package including health and wellness programs, time off, and a variety of incentives.