Principal Data Scientist

About the role

As a Principal Data Scientist, you will play a pivotal role in architecting, developing, and deploying high-impact machine learning and data science solutions across Warner Bros. This role is ideal for a seasoned technical leader with 14–16 years of total experience, including 10–12 years of deep, hands-on experience in applied data science, machine learning, and statistical modeling.

What you'll do

• Translate complex business problems into scalable analytical solutions—leveraging predictive modeling, optimization, experimentation, NLP, computer vision
• Lead end-to-end development of ML models, champion scientific rigor, and ensure robust operationalization through modern MLOps practices
• Design, build, and scale advanced machine learning models across predictive analytics, NLP, CV, forecasting, optimization, and recommender systems
• Develop interpretable and explainable ML models, ensuring scientific rigor, reproducibility, and operational robustness
• Conduct feature engineering, model selection, hyperparameter tuning, and validation using modern ML frameworks

What you need

• 14–16 yrs of experience
• Machine learning
• SQL
• NLP
• Python
• Scikit-learn
• Statistics
• PhD

Good to have

• LLMs
• IPR
• MLOps
• AWS
• Snowflake
• Computer vision