Senior Staff Applied Scientist, Infrastructure Ds

LINKEDIN

Mountain View, CA, United States
$198,000 - $326,000; bonus/equity: annual performa...
Hybrid (on-site and remote work as needed)
Rigorous quantitative methods
Forecasting, inference, and optimization
Signal-driven monitoring and alerting models
LinkedIn is seeking a Senior Staff Applied Scientist in Infrastructure Data Science to optimize its data-centric infrastructure operations. The ideal candidate will have extensive experience in quantitative disciplines, technical leadership, and a strong background in data analysis, machine learning, and causal inference methodologies

Job Summary

  • Leveraging data and analysis, you will address critical challenges within our infrastructure organization, shaping product strategy and guiding investment decisions with data-driven insights.
  • As an Applied Scientist in LinkedIn Infrastructure, you’ll develop and apply rigorous quantitative methods to optimize the systems that power our global platform.
  • We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

Matching Summary

Match Score: 88

LinkedIn is seeking a Senior Staff Applied Scientist in Infrastructure Data Science to optimize its data-centric infrastructure operations. The ideal candidate will have extensive experience in quantitative disciplines, technical leadership, and a strong background in data analysis, machine learning, and causal inference methodologies.

Salary

$198,000 - $326,000; Bonus/Equity: annual performance bonus, stock, other applicable incentive compensation plans; Benefits: generous health and wellness programs, time away

Skills & Requirements

Must-have

  • rigorous quantitative methods
  • forecasting, inference, and optimization
  • signal-driven monitoring and alerting models
  • measurement frameworks for cost, performance, reliability
  • causal inference methodology
  • machine learning models
  • design and conduct rigorous A/B tests

Nice-to-have

  • thought partner to senior leaders
  • promote and enable adoption of technical advances
  • elevate the art of Data Science practice
  • telling stories with data and visualization tools
  • work with multiple stakeholders
  • think with the big picture
  • solve core problems efficiently

Key Requirements

  • B.S. Degree in a quantitative discipline
  • 5+ years experience with SQL or relational database query performance
  • at least one programming language (e.g., R, Python, Scala)
  • 2+ years experience in an architect or technical leadership position
  • 10+ years of overall experience
  • at least 5+ of those years leading teams technically
  • Experience influencing strategy through data-centric presentations
  • Experience in applied statistics and statistical modeling
  • Experience running platform experiments and techniques like A/B testing
  • Proven record writing and optimizing code
  • coaching others to improve technical outputs
  • Experience mentoring other data scientists
  • MS or PhD in a quantitative discipline

Work Rights

Not specified

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