Data Scientist 4/5 - Identity DSE

Netflix

USA, Remote, United States
Base: $372,000.00 - $600,000.00; bonus/equity: emp...
Remote
Advanced degree in statistics or related field
Strong statistical skills including regression and a/b testing
Proficiency in sql and python or r for data manipulation
Netflix is hiring a Data Scientist for their Identity team, focusing on developing a unified identity platform to enhance user experiences through data analysis and experimentation. The role involves collaborating with various teams to inform commerce strategies and shape product decisions, requiring strong statistical skills and the ability to communicate insights effectively

Job Summary

  • The role involves building a unified, individual-level identity platform that serves as the core foundation for future product experiences.
  • Candidates will use data to identify opportunities, shape product decisions, and influence decision-making through data-driven insights.
  • Netflix offers a unique compensation structure where employees choose their salary versus stock options split annually.

Matching Summary

Match Score: 85

Netflix is hiring a Data Scientist for their Identity team, focusing on developing a unified identity platform to enhance user experiences through data analysis and experimentation. The role involves collaborating with various teams to inform commerce strategies and shape product decisions, requiring strong statistical skills and the ability to communicate insights effectively.

Salary

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

Skills & Requirements

Must-have

  • Advanced degree in Statistics or related field
  • Strong statistical skills including regression and A/B testing
  • Proficiency in SQL and Python or R for data manipulation
  • Experience designing experiments and causal inference methodologies

Nice-to-have

  • Exceptional communication with technical and non-technical audiences
  • Ability to thrive with minimal oversight and process
  • Comfort with ambiguity and rapid business context absorption
  • Strategic thought partnership with cross-functional teams

Key Requirements

  • Masters or PhD in Statistics, Mathematics, Computer Science, Economics, or related quantitative field
  • Experience with observational causal inference methodologies
  • No specific work authorization requirements mentioned

Work Rights

Not specified

Tailored Resume

Cover Letter