Data Scientist L6 - Games Portfolio

Netflix

USA - Remote
Base: $491,000.00 - $775,000.00; bonus/equity: no ...
Remote
Ph.d. in statistics or related quantitative field
8+ years data science or ml experience
Python programming at large scale
Netflix is seeking an experienced Data Scientist L6 for their Games Portfolio Team who will lead technical strategy and execution, focusing on metrics development, audience insights, and forecasting models. The ideal candidate will have extensive experience in data science, machine learning, and technical leadership, with a strong emphasis on Python programming and statistical modeling

Job Summary

  • Netflix is seeking an experienced L6 Data Scientist to define and lead the technical strategy for the Games Portfolio Team.
  • The role involves developing robust forecasting models, synthesizing audience insights, and establishing transmedia impact frameworks to drive business decisions.
  • Candidates will receive a competitive annual salary ranging from $491,000 to $775,000 along with comprehensive benefits including stock options and flexible time off.

Matching Summary

Match Score: 88

Netflix is seeking an experienced Data Scientist L6 for their Games Portfolio Team who will lead technical strategy and execution, focusing on metrics development, audience insights, and forecasting models. The ideal candidate will have extensive experience in data science, machine learning, and technical leadership, with a strong emphasis on Python programming and statistical modeling.

Salary

Base: $491,000.00 - $775,000.00; Bonus/Equity: No bonuses; Stock options available annually; Benefits: Health plans, 401(k) match, stock option program, flexible time off

Skills & Requirements

Must-have

  • Ph.D. in Statistics or related quantitative field
  • 8+ years Data Science or ML experience
  • Python programming at large scale
  • Statistical modeling and causal inference expertise
  • Time series analysis and applied machine learning
  • Technical leadership and mentoring capabilities

Nice-to-have

  • Experience with gaming or streaming business models
  • Production-grade large-scale ML systems knowledge
  • Deep neural networks application experience
  • GenAI applications for developer productivity
  • MLOps best practices implementation

Key Requirements

  • Ph.D. in Statistics, Mathematics, Economics, Computer Science, or related field
  • 8+ years relevant experience in Data Science or ML roles
  • Proven Tech Lead experience owning technical architecture and roadmap
  • Expert-level Python skills with distributed systems deployment
  • Deep expertise in statistical modeling, causal inference, and time series analysis

Work Rights

Not specified

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