Machine Learning Scientist 4 - Pricing Science

Netflix

USA - Remote
Base: $300,000.00 - $537,000.00; bonus/equity: no ...
Remote
Deep expertise in causal inference
Quasi-experimental design experience
Python proficiency with ml libraries
The role involves designing quasi-experimental and causal inference approaches to measure the true impact of pricing actions in global datasets

Job Summary

  • The role involves designing quasi-experimental and causal inference approaches to measure the true impact of pricing actions in global datasets.
  • Candidates will partner with Finance & Strategy leaders to translate statistical findings into actionable business recommendations while pushing back on conflicting assumptions.
  • Netflix offers a compensation structure where employees choose their salary versus stock options split, along with comprehensive benefits including flexible time off.

Matching Summary

The role involves designing quasi-experimental and causal inference approaches to measure the true impact of pricing actions in global datasets.

Salary

Base: $300,000.00 - $537,000.00; Bonus/Equity: No bonuses; Salary vs Stock options chosen annually; Benefits: Comprehensive health plans, 401(k) match, stock options, 35 days PTO or flexible time off

Skills & Requirements

Must-have

  • Deep expertise in causal inference
  • Quasi-experimental design experience
  • Python proficiency with ML libraries
  • Production model deployment track record
  • B2C subscription business intuition

Nice-to-have

  • Clear communication of complex methodology
  • First-principles thinking approach
  • Experience with elasticity research
  • Skepticism of correlational claims
  • Global market data analysis skills

Key Requirements

  • Advanced degree (MS or PhD) in quantitative field
  • Proven track record of 0 to 1 ML initiatives
  • Equivalent applied research experience

Work Rights

Not specified

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