Staff Applied Scientist

LINKEDIN

Mountain View, CA, United States
Base: $170,000 - $277,000; bonus/equity: annual pe...
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Machine learning techniques
Implement from scratch
Analyze large-scale data
** LinkedIn is seeking a Staff Applied Scientist to join their Data Science team in Mountain View, CA. The ideal candidate should have extensive experience in applied statistics and machine learning, and the role emphasizes collaboration to drive business decisions through data-driven insights. **

Job Summary

  • 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.
  • Responsibilities include working with cross-functional teams to identify business opportunities, developing algorithms, analyzing large-scale data, conducting causal analysis, and enhancing product capabilities.
  • The company offers generous health and wellness programs, time away, and a pay range of $170,000 - $277,000, with potential for annual performance bonus, stock, and other incentives.

Matching Summary

Match Score: 75

** LinkedIn is seeking a Staff Applied Scientist to join their Data Science team in Mountain View, CA. The ideal candidate should have extensive experience in applied statistics and machine learning, and the role emphasizes collaboration to drive business decisions through data-driven insights. **

Salary

Base: $170,000 - $277,000; Bonus/Equity: annual performance bonus, stock, or other applicable incentive compensation plans; Benefits: generous health and wellness programs and time away

Skills & Requirements

Must-have

  • Machine learning techniques
  • Implement from scratch
  • Analyze large-scale data
  • Develop causal methodology
  • Build scalable tools/applications

Nice-to-have

  • Thought partner to senior leaders
  • Elevate Data Science practice
  • Promote technical advances
  • Trust, care, inclusion, fun culture

Key Requirements

  • Bachelor's Degree in quantitative discipline
  • 5+ years industry or academia experience
  • Background in at least one programming language
  • Experience in applied statistics and statistical modeling

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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