Manager, Software Engineering, Data Science

LinkedIn helps professionals achieve more in their careers through innovative products and technology, connecting millions globally.
$150,000 - $250,000
Data
Staff Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

Description For Manager, Software Engineering, Data Science

LinkedIn is a global professional networking platform that transforms careers through innovative products and technology. As a Manager of Software Engineering in Data Science, you'll lead high-performing teams to build and manage core data foundations, executive metrics, and machine learning solutions. The role combines technical leadership with strategic thinking, requiring expertise in large-scale data analysis and team management. You'll partner with senior leaders to develop long-term roadmaps, drive strategic projects, and influence data-driven decisions. The position offers a hybrid work environment, balancing remote work with office collaboration. LinkedIn's commitment to diversity and global workforce development makes this an opportunity to impact how professionals worldwide connect and grow. You'll work with cutting-edge technologies including Hadoop, MapReduce, and various programming languages, while mentoring team members and driving innovation in data science solutions. The role demands both technical depth and leadership skills, offering the chance to shape how LinkedIn uses data to create value for millions of professionals globally.

Last updated 26 minutes ago

Responsibilities For Manager, Software Engineering, Data Science

  • Partner with cross-functional teams to lead strategic projects
  • Lead and manage data science and engineering teams
  • Analyze large-scale data and develop machine learning solutions
  • Build scalable tools/applications for data insights
  • Act as thought partner to senior leaders
  • Provide technical guidance and mentorship
  • Develop long-term roadmaps and strategy

Requirements For Manager, Software Engineering, Data Science

Java
Python
  • BS/BA in Computer Science or related technical discipline
  • 8+ years of industry experience
  • 2+ years experience in managing Data Science teams
  • 2+ years of management experience
  • Strong leadership track record
  • Experience with massive-scale data manipulation
  • Proficiency in SQL and programming languages (R, Python, Scala)
  • Experience with Hadoop/MapReduce paradigms

Benefits For Manager, Software Engineering, Data Science

Equity
  • Hybrid work environment
  • Career growth opportunities
  • Global impact potential

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