Senior Principal Data Scientist

Warner Bros. Discovery

Remote

Quick summary

Work type: Remote
Location: Atlanta, GA
Posted: 10 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $167k

$104k most similar roles pay here $238k

This listing doesn't post a salary. Most similar roles pay $133,750–$200,596.

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 63 open roles on FindRole.

Listed pay typically runs $132,300–$245,700 across 44 roles with salary data.

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At a glance

TL;DR · Senior Principal Data Scientist

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As a Sr. Principal Data Scientist at Warner Bros. Discovery, you will serve as one of the company’s most senior technical individual contributors, focusing on designing and implementing advanced ML systems across content intelligence, audience modeling, forecasting, advertising analytics, and more. Your day-to-day involves setting technical direction for complex projects without direct management responsibilities, ensuring rigorous statistical thinking and scientific validation in all solutions. You will work with modern cloud ecosystems like AWS and Snowflake to architect scalable ML systems, collaborate closely with data engineering teams, and deliver mission-critical AI solutions that translate into clear executive insights. The role requires deep expertise in predictive modeling, MLOps, Python, PyTorch, TensorFlow, SQL, and a strong background in Media & Entertainment or digital advertising.

Skills

Python PyTorch TensorFlow AWS GCP Snowflake MLOps CI/CD SQL NLP Computer Vision Time-series Forecasting Causal Inference Recommender Systems Feature Stores Model Monitoring Responsible AI Multimodal ML Generative AI

What you'll do

Design and implement advanced machine learning models for complex business problems.
Set technical direction and standards for enterprise-scale ML implementations.
Architect production-grade ML systems integrated with cloud data ecosystems.
Translate complex modeling outputs into clear, executive-ready insights for decision-making.
Serve as a trusted technical advisor to senior leaders across various departments.
Mentor senior data scientists through technical guidance and design reviews.

What we're looking for

15-18 years of experience in Data Science, ML, and AI at enterprise scale.
Deep hands-on expertise in designing and implementing advanced ML systems.
Proven ability to set technical direction for complex ML implementations.
Expertise in state-of-the-art models including large-scale recommender systems and NLP.
Experience architecting production-grade ML systems integrated with cloud data ecosystems.
Strong track record of delivering mission-critical AI solutions across business areas.

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