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Strong global brand, mid-level ML role and metro location drive high competition.
ML skills are transferable but content and entertainment domain experience is preferred.
Explicit 3-5 year requirement and mandatory ML/LLM production skills create strict filtering.
Develop and deploy machine learning and AI-driven solutions for Warner Bros. Discovery's non-streaming studio businesses.
Create predictive models and advanced analytics to understand audience behavior, demand signals, business performance, and content value.
Collaborate with Data Engineering, Analytics, and business teams to deliver data products and actionable insights supporting strategic planning and growth.
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.
Proficient in Python, R or similar programming languages and ML frameworks like TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras, or Spark ML.
Strong knowledge of machine learning techniques including regression, classification, time series forecasting, NLP, and Large Language Models (LLMs).
Experienced in end-to-end ML workflows: data preparation, feature engineering, model training, deployment, monitoring, and optimization in production environments.
Capability to work closely with cross-functional teams including Data Engineers, ML Engineers, and business stakeholders to deliver data-driven solutions.
Exposure to personalization, content recommendation, large-scale consumer platforms, BI tools (Power BI, Tableau, Looker), and cloud or distributed data processing frameworks is a plus.