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Strong employer brand, mid-level ML role, metro location, and generalist Data Scientist title increase competition.
ML modeling skills are transferable, but content recommendation expertise favors media-specific fit.
Explicit 3-5 years, required production ML experience, and specific frameworks make screening highly strict.
Develop and deploy machine learning and AI-driven data science models to support WBD’s non-streaming studio businesses.
Partner with Data Engineering, Analytics Engineering, and business teams to deliver data products and actionable insights for strategic planning and business growth.
Build end-to-end ML workflows including data preparation, feature engineering, model training, validation, deployment, and monitoring to improve audience understanding and content value.
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field.
3-5 years of experience building data science models and machine learning solutions.
Strong programming skills in Python, R, or similar languages and experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras, or Spark ML.
Expertise in machine learning techniques including regression, classification, time series forecasting, NLP, and Large Language Models (LLMs).
Experienced in deploying scalable ML models in production environments and managing full ML lifecycle workflows.
Skilled at collaborating with cross-functional teams to translate complex data science tasks into practical business solutions.
Strong background in statistical modeling, recommendation systems, personalization, and AI/Generative AI tools applied in large-scale consumer platforms.