Company Description

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We are much more than a digital resume – we transform lives through innovative products and technology.

Creating economic opportunity for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer.

Job Description

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together

The Economic Graph Research and Insights 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.

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 800 million 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 scientist to have an impact and transform your career.

We are looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering and operations to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners. Successful candidates will exhibit technical acumen and business savviness, with a passion for making an impact through creative storytelling and timely actions.

Responsibilities:

• You will work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or go-to-market strategy.
• You will analyze large-scale structured and unstructured data; develop deep-dive analysis and machine learning models to drive member value and customer success.
• You will design and develop core business metrics, create insightful automated dashboards and data visualizations to track them and extract useful business insights.
• You will design and analyze experiments to test new product ideas or go-to-market strategies and convert the results into actionable recommendations.
• You will craft compelling stories; make logical recommendations; drive informed actions.
• You will engage with internal technology partners to prototype and validate tools developed in-house for near-real-time processing of very large datasets.
• You will communicate findings to senior leaders and evangelize data-driven business decisions.

Qualifications

Basic Qualifications:

• Bachelor’s Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
• 1+ years of industry experience
• 1 + years experience with SQL or relational database query performance.

Preferred Qualifications: 

• 2+ years of relevant work experience
• MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
• Experience in at least one programming language (e.g., R, Python).
• Experience with data visualization tools (eg. Tableau, BI dashboarding, R visualization packages, etc.).
• Experience with manipulating massive scale structured and unstructured data.
• Experience with Hadoop or other MapReduce paradigms, and associated languages such as Hive, Presto etc.
• Working knowledge of Unix and Unix-like systems, git and review board.
• Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences.

Suggested Skills:

• Statistics,
• Computer Science,
• Engineering,
• Applied Mathematics
• SQL

Additional Information

Global Data Privacy Notice for Job Candidates ​

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.