Principal, Data Scientist

Warner Bros. Discovery

Not specified
12+ years applied data science experience
Advanced degree in computer science or statistics
Deep knowledge of statistical optimization and causal inference
Warner Bros. Discovery is seeking a Principal Data Scientist to lead the design and deployment of advanced data science models within its global advertising ecosystem. The ideal candidate will possess extensive experience in machine learning and optimization, as well as the ability to translate complex data insights into actionable strategies

Job Summary

  • The Principal leads the design and deployment of advanced data science models that power Warner Bros. Discovery's global advertising ecosystem.
  • This role combines deep technical expertise with strategic influence to transform data into predictive insights that maximize monetization and enhance targeting precision.
  • Warner Bros. Discovery offers career-defining opportunities, thoughtfully curated benefits, and a supportive culture where employees are celebrated and encouraged to thrive.

Matching Summary

Match Score: 85

Warner Bros. Discovery is seeking a Principal Data Scientist to lead the design and deployment of advanced data science models within its global advertising ecosystem. The ideal candidate will possess extensive experience in machine learning and optimization, as well as the ability to translate complex data insights into actionable strategies.

Skills & Requirements

Must-have

  • 12+ years applied data science experience
  • Advanced degree in Computer Science or Statistics
  • Deep knowledge of statistical optimization and causal inference
  • Experience building cloud-native ML/AI pipelines
  • Expertise in A/B testing and attribution modeling

Nice-to-have

  • Active participation in ML/AI communities
  • Publications or patents in AI/ML domains
  • Open-source contributions to data science projects
  • Experience with reinforcement learning in ad-tech

Key Requirements

  • 12+ years of applied data science experience
  • Advanced degree in Computer Science, Statistics, or related field
  • Proven success deploying ML models at enterprise scale

Work Rights

Not specified

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