Senior Manager, Data Science - PSM

Professional social networking platform with over one billion members worldwide, offering B2B and B2C services.
$162,000 - $267,000
Data
Staff Software Engineer
Hybrid
5,000+ Employees
7+ years of experience
Enterprise SaaS · AI

Description For Senior Manager, Data Science - PSM

LinkedIn is seeking a Senior Manager of Data Science for their Product Service & Marketplaces (PSM) team, a crucial role that will shape the future of LinkedIn's Ads and Sales Solutions. This position offers an exciting opportunity to lead a team of talented data scientists in building data-driven solutions for marketing, sales, pricing, and customer success processes.

The role is based in Sunnyvale, CA, with a hybrid work arrangement, offering flexibility while maintaining strong team connections. As part of LinkedIn's extensive data science organization, which spans multiple locations including the US, India, and Dublin, you'll be at the forefront of leveraging data science to drive member engagement, growth, and business success.

Your team will be instrumental in building the data foundation for LinkedIn's advertising and sales marketplaces, applying sophisticated statistical techniques for A/B testing and LTV estimation, and implementing machine learning solutions to optimize key PSM processes. You'll work closely with cross-functional partners including product, engineering, AI, design, and user research teams to deliver impactful insights and solutions.

The role requires a blend of technical expertise, business acumen, and leadership skills. You'll need to demonstrate strong people management capabilities, with experience in building and supporting high-performing teams. The position offers competitive compensation ($162,000-$267,000/year) and comprehensive benefits, including health coverage and equity opportunities.

This is an ideal opportunity for an experienced data science leader who wants to make a significant impact at scale, working with one of the world's largest professional networks. You'll have the chance to influence strategic decisions, mentor talented professionals, and drive innovation in how LinkedIn leverages data for business growth.

The role combines technical leadership with business strategy, requiring someone who can both understand complex technical challenges and translate them into business value. You'll be expected to build strong relationships across the organization, from working with individual contributors to partnering with executive teams.

If you're passionate about leading data science initiatives that directly impact business success, and want to work in an environment that values both technical excellence and people development, this role offers an exceptional opportunity to advance your career while making a meaningful impact.

Last updated a day ago

Responsibilities For Senior Manager, Data Science - PSM

  • Define strategic vision and roadmap to empower PSM growth
  • Partner with Marketing and Sales executive teams to align on goals
  • Build strong collaboration with other Line of Business Data Science teams
  • Coach and mentor data scientists and managers
  • Analyze large-scale structured and unstructured data
  • Lead team to deliver strong results through cutting edge methodologies
  • Align with relevant teams on prioritization
  • Represent LinkedIn in industry forums

Requirements For Senior Manager, Data Science - PSM

Python
  • BS or above degrees in a quantitative field - Computer Science, Operational Research, Statistics, Economics, or related fields
  • 7+ years of relevant industry or relevant academic experience in Data Science / Analytics
  • 2+ years experience in managing a team
  • Experience with SQL/Relational databases and data visualization tools
  • Experience in one of the domains - product analytics, marketing analytics, or sales analytics
  • Experience in applied statistics

Benefits For Senior Manager, Data Science - PSM

Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • Health and wellness programs
  • Time away benefits
  • Annual performance bonus
  • Stock benefits
  • Flexible work arrangements

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