Data Science & Applied AI

Staff, Data Science & Applied 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.

Your New Role:

As Staff, Data Science & Applied AI, you will be a core technical contributor within the Enterprise Data & AI Solutions team supporting Warner Bros. Discovery's global portfolio — including Studios, Streaming, Linear Networks, Consumer Products, Games, and Direct-to-Consumer platforms.

This role is designed for a hands-on expert in applied data science who thrives at the intersection of statistical rigor, machine learning engineering, and business impact. You will translate complex business challenges into scalable analytical solutions, production-grade models, and data products that drive measurable enterprise value.

You will operate as a senior individual contributor, partnering closely with Product, Engineering, and Business stakeholders to design, develop, deploy, and scale advanced analytics and AI capabilities across the organization.

Key Responsibilities include:

• Design, develop, and deploy statistical, predictive, and machine learning models across domains such as customer analytics, forecasting, personalization, optimization, and content performance.
• Apply advanced techniques including ensemble methods, gradient boosting, deep learning, NLP, time-series forecasting, and recommendation systems.
• Ensure model robustness through rigorous validation, monitoring, and performance tracking.

• Design and implement Generative AI solutions leveraging large language models (LLMs) for use cases such as knowledge retrieval, content intelligence, metadata enrichment, summarization, and workflow automation.
• Develop and optimize prompt engineering strategies, evaluation frameworks, and guardrails to ensure high-quality, reliable outputs.
• Architect Retrieval-Augmented Generation (RAG) pipelines integrating structured and unstructured enterprise data sources.
• Fine-tune or adapt foundation models where appropriate using parameter-efficient techniques (e.g., LoRA, adapters) aligned with business needs.
• Implement evaluation pipelines to measure hallucination rates, bias, latency, cost efficiency, and model quality in production environments.
• Collaborate with Responsible AI and Governance teams to ensure compliance with enterprise AI policies, data privacy standards, and ethical AI practices.

• Collaborate with Data Engineering and Dev Ops teams to product ionize ML and GenAI solutions in scalable cloud environments.
• Design CI/CD pipelines for model lifecycle management, including experimentation tracking, versioning, and automated retraining.
• Implement monitoring frameworks for model drift, prompt drift, performance degradation, and data integrity.

• Develop reusable ML and GenAI frameworks, accelerators, and internal utilities that improve productivity across teams.
• Advance automation initiatives to reduce manual workflows and enhance analytical velocity.
• Stay current with cutting-edge advancements in foundation models, multimodal AI, and agentic architectures to continuously elevate enterprise AI capabilities.

Qualifications & Experiences:

• Bachelor's degree, MS, or greater in Computer/Data Science, Engineering, Mathematics, Statistics, or related quantitative discipline.
• 8+ years relevant experience in data science, 2+ experience in GenAI
• Demonstrated track record of delivering production-grade AI/ ML solutions with measurable business impact.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.