Sr Data Scientist - EGRI

LinkedIn is seeking a Senior Data Scientist for their EGRI team to join their world-class data organization. This role offers an exciting opportunity to work with LinkedIn's massive dataset of over 1 billion members worldwide, focusing on driving member engagement, business growth, and monetization efforts.

The position combines technical expertise with business impact, requiring someone who can work with cross-functional teams to identify opportunities and build scalable data solutions. You'll be responsible for managing complex data systems, building and maintaining data pipelines, and establishing efficient design patterns that serve both technical and non-technical stakeholders.

As a Senior Data Scientist, you'll be working in a hybrid environment, collaborating with various teams including product, marketing, sales, engineering, and operations. The role offers competitive compensation ranging from $121,000 to $198,000 annually, reflecting LinkedIn's commitment to attracting top talent.

Key technical requirements include experience with SQL, Python, Java, or Scala, and a strong background in working with large-scale data. You'll be working with distributed data systems and modern data technologies, contributing to LinkedIn's data-centric culture.

The ideal candidate will be a self-starter with strong analytical skills, capable of driving projects to completion with minimal guidance. You'll have the opportunity to contribute to engineering innovations that directly impact LinkedIn's vision of creating economic opportunity for every member of the global workforce.

LinkedIn offers a collaborative environment where diversity is valued and career growth is actively supported. The company provides comprehensive benefits and believes in fostering a culture where amazing things happen when people work together in an environment of true belonging.

This role represents an excellent opportunity for someone looking to make a significant impact at scale, working with one of the world's largest professional networks. You'll be part of a team that values data-driven decision making and innovation, while contributing to products that help millions of professionals achieve more in their careers.