Sr. Principal Data Scientist (Agentic AI)

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

• →Act as one of WBD’s most senior technical ICs in Data Science and Machine Learning.
• →Lead the end-to-end design and implementation of advanced ML systems across:
  • →Content intelligence & metadata enrichment
  • →Audience modelling & personalization
  • →Forecasting, optimization, and experimentation
  • →Advertising intelligence & monetization analytics
• →Set technical direction and standards for complex ML implementations without direct people management.

• Design and implement state-of-the-art models, including:
  • Large-scale recommender systems
  • Time-series forecasting & probabilistic models
  • Causal inference, experimentation & uplift modelling
  • NLP, generative AI & multimodal ML systems
  • Computer vision & video intelligence pipelines
• Apply rigorous statistical thinking, experimentation discipline, and scientific validation to all solutions.
• Serve as a final technical reviewer for high-risk or high-impact ML solutions.

• Architect production-grade ML systems integrated with WBD’s cloud data ecosystem (AWS, Snowflake, GCP).
• Define best practices for:
  • Feature engineering & feature stores
  • Model lifecycle management & MLOps
  • CI/CD for ML, model monitoring, and drift detection
  • Reproducibility, governance, and responsible AI
• Partner deeply with data engineering, platform, and product engineering teams to ensure scalable, resilient delivery.

• Own and deliver mission-critical AI solutions across:
  • Content performance prediction & ratings intelligence
  • Marketing attribution & lifecycle analytics
  • Search, discovery & ranking systems
  • Ad load optimization & pricing intelligence
  • Operational forecasting & automation
• Translate complex modelling outputs into clear, executive-ready insights that drive decisions.

• Serve as a trusted technical advisor to senior leaders across Streaming, Content, Ad Sales, Marketing, and Technology.
• Communicate complex ML concepts with clarity and credibility to non-technical stakeholders.
• Influence enterprise AI roadmaps, architectural decisions, and investment priorities through expertise—not hierarchy.

• Mentor senior and staff-level data scientists through technical guidance, design reviews, and deep problem-solving.
• Contribute to internal AI communities of practice, technical forums, and standards bodies.
• Elevate overall engineering and scientific rigor across the Data Science organization.

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, Operations Research, or related disciplines.
• 18–20 years of total experience, with 13–15 years in Data Science/ML, including hands-on technical leadership.
• Deep expertise in:
  • Predictive modeling, optimization, and advanced ML techniques
  • MLOps and large-scale model deployment
  • Modern cloud ecosystems (AWS/GCP/Snowflake)
  • Python, PyTorch, TensorFlow, SQL, ML frameworks
  • Experiment design, causal inference, and statistical modeling
• Demonstrated experience in Media & Entertainment, streaming, digital advertising, or consumer intelligence.
• Strong track record of delivering enterprise-impact through AI solutions.
• Exceptional communication skills, including the ability to influence executives and inspire technical teams.

• Experience developing or customizing Large Language Models or multimodal foundation models.
• Patent, publication, or conference-track record in ML/AI.
• Experience with video intelligence, CV for media workflows, or content metadata systems.
• Experience partnering with product and engineering organizations in a fast-paced environment.

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

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