Staff Data Science & Applied AI

Warner Bros. Discovery

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Atlanta, GA
Posted
50 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $227k
$162k most similar roles pay here $299k

This listing doesn't post a salary. Most similar roles pay $195,000–$258,303.

Based on 240 similar postings.

Employer

About Warner Bros. Discovery

Warner Bros. Discovery is a global media and entertainment company operating a broad portfolio of iconic content and brands including Warner Bros. film studio, HBO, CNN, Discovery Channel, and Max streaming service. Industry: Media & Entertainment

Warner Bros. Discovery currently has 55 open roles on FindRole.

Listed pay typically runs $131,985–$245,115 across 38 roles with salary data.

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At a glance

TL;DR · Staff Data Science & Applied AI

As Staff, Data Science & Applied AI, you will join the Enterprise Data & AI Solutions team to support a global portfolio including Studios, Streaming, Linear Networks, Consumer Products, Games, and Direct-to-Consumer platforms. You will serve as a technical individual contributor, translating complex business challenges into scalable analytical solutions, production-grade models, and data products. Your daily work involves designing and deploying machine learning models for customer analytics, forecasting, and personalization using ensemble methods, gradient boosting, deep learning, and NLP. You will build Generative AI solutions and RAG pipelines utilizing LLMs, vector databases like Pinecone or Weaviate, and techniques such as LoRA for fine-tuning. Key responsibilities include developing CI/CD pipelines, implementing monitoring frameworks for model drift, and creating reusable ML frameworks to automate workflows while ensuring compliance with responsible AI and data privacy standards.

What you'll do

  • Develop and deploy predictive models for customer analytics, forecasting, personalization, and content performance.
  • Implement Generative AI solutions using LLMs for knowledge retrieval, metadata enrichment, and workflow automation.
  • Architect Retrieval-Augmented Generation (RAG) pipelines integrating structured and unstructured enterprise data sources.
  • Fine-tune foundation models using parameter-efficient techniques like LoRA to align with specific business needs.
  • Build evaluation frameworks to monitor model performance, hallucination rates, bias, and cost efficiency.
  • Productionize ML and GenAI solutions in scalable cloud environments using CI/CD pipelines and monitoring tools.
  • Create reusable machine learning frameworks and internal utilities to improve productivity across the organization.
  • Ensure all AI initiatives comply with enterprise data privacy standards and ethical AI governance policies.

What we're looking for

  • Bachelor’s degree, MS, or higher in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline.
  • 8+ years of relevant experience in data science.
  • Experience specifically in Generative AI.
  • Proven track record of delivering production-grade AI/ML solutions with measurable business impact.
  • Hands-on experience designing and deploying Generative AI solutions using large language models and prompt engineering strategies.
  • Experience building Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and enterprise data sources.
  • Proficiency in fine-tuning foundation models using parameter-efficient techniques like LoRA or adapters.
  • Understanding of Responsible AI principles, data privacy considerations, and model governance requirements.

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