# Sr. Principal Data Scientist (Agentic AI)

Source: https://realanalystjobs.com/job/sr-principal-data-scientist-agentic-ai-warner-bros-discovery-9837f785
Sr. Principal Data Scientist (Agentic AI) at Warner Bros. Discovery, based in Ga Atlanta 1050 Techwood Drive Nw. Experience level: 14 Years. Posted on 21 October 2026, read from Warner Bros. Discovery's own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes.

Updated 15 November 2026.

## Key facts

- Company: [Warner Bros. Discovery](https://realanalystjobs.com/companies/warner-bros-discovery)
- Location: Ga Atlanta 1050 Techwood Drive Nw
- Posted: Oct 21, 2026
- Employment type: Full time
- Experience level: 14 Years
- Source: Warner Bros. Discovery's careers page (Workday), re-checked daily

Skills: [SQL](https://realanalystjobs.com/skills/sql), [Python](https://realanalystjobs.com/skills/python), Snowflake, AWS

## About this role

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!

ㅤ

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 & 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.

5. Executive & Cross-Functional Influence (Without Line Management)

• 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.

6. Technical Mentorship & Community Leadership

• 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.

Qualifications & Experiences:

• 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.

Preferred

• Experience develo

Description from Warner Bros. Discovery's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you.

## How to apply

Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/sr-principal-data-scientist-agentic-ai-warner-bros-discovery-9837f785) and use Apply now there to reach the employer's application. The listing is re-checked against Warner Bros. Discovery's careers page daily and removed when it closes.

## Warner Bros. Discovery

11 open analyst roles on Real Analyst Jobs. [More roles at Warner Bros. Discovery](https://realanalystjobs.com/companies/warner-bros-discovery)

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## Sources and links

- [This role on Real Analyst Jobs](https://realanalystjobs.com/job/sr-principal-data-scientist-agentic-ai-warner-bros-discovery-9837f785)
- [Warner Bros. Discovery on Real Analyst Jobs](https://realanalystjobs.com/companies/warner-bros-discovery)
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