Storytelling is, and will always be, the heart of what we do at Skydance.
Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.
Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.
If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!
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Your New Role :
As a Sr. Principal Data Scientist, you will operate at the highest technical individual-contributor level at Warner Bros. Discovery—serving as a company-wide authority in advanced Data Science, Machine Learning, and Applied AI.
Design and build enterprise-grade Agentic AI systems, including autonomous and multi-agent workflows that leverage reasoning, tool use, planning, memory, and orchestration to execute complex business processes. Establish scalable patterns for agent architecture, evaluation, observability, guardrails, and human-in-the-loop controls to enable reliable and responsible deployment of AI agents in production.
This role is designed for an elite practitioner with 15–18+ years of experience, including 10–14 years of deep, hands-on expertise in Data Science, ML, and AI systems at enterprise scale. Unlike leadership or management roles, this position is purely an IC role, focused on technical depth, architectural rigor, and scientific excellence, without formal people-management responsibilities.
You will design, architect, and deliver some of WBD’s most complex and business-critical AI systems, directly influencing how the company creates, distributes, personalizes, monetizes, and optimizes content across streaming, linear TV, advertising, and direct-to-consumer platforms.
This is a hands-on, high-impact role for a technologist who thrives on solving unsolved problems, pushing the boundaries of applied ML, and translating advanced science into durable business advantage.
1. Enterprise-Grade Applied AI & ML Leadership (IC)
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.
2. Advanced Modelling & Scientific Excellence
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.
3. Architecture of Scalable ML Systems
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.
4. High-Impact Business Problem Solving
Own and deliver mission-critical AI solutions across: Content performance prediction &…