Principal Data Scientist
Core
Architect, develop, and deploy high-impact machine learning and data science solutions across Warner Bros. Discovery's global businesses, translating complex problems into scalable analytical solutions. (via careerplan.io/jobs/R000106024-principal-data-scientist-at-warnerbros)
Role type
Principal Data Scientist (Technical Leader)
Builds
Production-grade ML pipelines, feature stores, experimentation platforms, and ML observability frameworks.
Domain
Media & Entertainment (Streaming, Content, Audience Intelligence)
Deliverable
production ML models
Required skills
Predictive modeling, optimization, deep learning, NLP, computer vision, statistical modeling, experiment design, causal inference, MLOps, model deployment, monitoring, Python, SQL, PyTorch, TensorFlow, Scikit-learn, cloud platforms (AWS/GCP/Snowflake)
Preferred skills
Foundation models, LLMs, embeddings, generative AI, video intelligence, OCR/CV pipelines, content metadata engines
Technologies
Snowflake, AWS, GCP, Databricks, PyTorch, TensorFlow, Scikit-learn
Responsibilities
Design and scale advanced ML models (predictive analytics, NLP, CV, forecasting, optimization, recommender systems); Build production-grade ML pipelines integrating with data ecosystem; Lead delivery of ML solutions for content performance, audience segmentation, search ranking, and metadata enrichment; Mentor data scientists and ML engineers; Champion responsible AI and model governance.
Seniority
Principal, hands-on IC with strategic leadership
