Data Scientist 5 - Infrastructure Experimentation

Netflix

USA - Remote
Base: $372,000.00 - $600,000.00; bonus/equity: emp...
Remote
A/b testing and causal inference
Machine learning model production lifecycle
Python and sql proficiency
Netflix is seeking a Senior Data Scientist focused on Infrastructure Experimentation, responsible for analyzing and optimizing the company's infrastructure usage through machine learning and experimentation methodologies. The role emphasizes collaboration with various engineering and data teams to enhance decision-making around A/B testing and infrastructure performance

Job Summary

  • The role involves building machine learning models to predict infrastructure cost and performance impacts of A/B experiments.
  • Candidates must partner with platform teams to improve data quality and extend measurement frameworks for new metrics like latency.
  • Netflix offers a unique compensation structure where employees choose the split between salary and stock options annually.

Matching Summary

Match Score: 85

Netflix is seeking a Senior Data Scientist focused on Infrastructure Experimentation, responsible for analyzing and optimizing the company's infrastructure usage through machine learning and experimentation methodologies. The role emphasizes collaboration with various engineering and data teams to enhance decision-making around A/B testing and infrastructure performance.

Salary

Base: $372,000.00 - $600,000.00; Bonus/Equity: Employee chooses salary vs stock option split; Benefits: Comprehensive health plans, 401(k) match, flexible time off

Skills & Requirements

Must-have

  • A/B testing and causal inference
  • Machine learning model production lifecycle
  • Python and SQL proficiency
  • Large-scale data pipeline engineering
  • Statistical significance estimation

Nice-to-have

  • Infrastructure domain knowledge
  • Horizontal stakeholder collaboration
  • Messy data environment adaptability
  • Product thinking mindset
  • Ambiguity tolerance

Key Requirements

  • Experience in experimentation methodology
  • Fluency in Python and SQL
  • Strong foundation in statistical analysis

Work Rights

Not specified

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