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Sr. Principal Data Scientist; Agentic AI

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Warner Media, LLC.
Full Time position
Listed on 2026-09-01
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Principal Data Scientist (Agentic AI)

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

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.

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…
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