Senior Staff Data Scientist

Warner Bros. Discovery

Multiple Locations, US
Base: $159,600.00 - $296,400.00 py; bonus/equity: ...
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Multi-armed bandit algorithm implementation
Variance reduction methods like cuped
Python sql and data science libraries
** Warner Bros. Discovery is seeking a Senior Staff Data Scientist to lead the development and scaling of their experimentation science platform, focusing on multi-armed bandit algorithms and automated decision-making. The role requires extensive experience in statistical methods and hands-on implementation of experimentation frameworks, with a strong emphasis on collaboration and mentorship. **

Job Summary

  • This role involves leading the design, development, and scaling of an experimentation science platform focused on multi-armed bandit algorithms and adaptive experimentation.
  • The successful candidate will set the vision for experimentation science, drive algorithmic innovation, and mentor other scientists while partnering with engineering and product teams.
  • Warner Bros. Discovery offers career-defining opportunities, thoughtfully curated benefits, and a supportive environment where employees are celebrated and can thrive.

Matching Summary

Match Score: 75

** Warner Bros. Discovery is seeking a Senior Staff Data Scientist to lead the development and scaling of their experimentation science platform, focusing on multi-armed bandit algorithms and automated decision-making. The role requires extensive experience in statistical methods and hands-on implementation of experimentation frameworks, with a strong emphasis on collaboration and mentorship. **

Salary

Base: $159,600.00 - $296,400.00 per year; Bonus/Equity: Annual bonuses, short- and long-term incentives available; Benefits: Health insurance, wellness program, life/disability insurance, retirement plan, paid time off

Skills & Requirements

Must-have

  • Multi-armed bandit algorithm implementation
  • Variance reduction methods like CUPED
  • Python SQL and data science libraries
  • Large-scale online experimentation experience
  • Statistical framework architecture

Nice-to-have

  • Causal inference expertise
  • Experience with Optimizely platforms
  • Scientific conference publications
  • Media streaming context knowledge
  • Cross-functional leadership skills

Key Requirements

  • Ph.D. or equivalent advanced degree in Statistics or Computer Science
  • 10+ years of experience in statistical and machine learning methods
  • Deep expertise in experimental design and variance reduction

Work Rights

Not specified

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