Machine Learning Scientist (L4) - Content & Conversation Modeling
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The role
Lead end-to-end development of predictive models to inform content strategy and scheduling decisions.
Innovate and deploy scalable ML solutions using media data to forecast engagement and title performance.
Collaborate with analytics and strategy teams across regions to translate business questions into machine learning solutions.
Own the full ML lifecycle—ideation, feature engineering, training, evaluation, deployment, monitoring, and continuous improvement.
Partner with data engineering, ML Ops, and platform teams to influence infrastructure and production readiness.
Communicate complex results clearly to cross-functional partners and drive data-driven decision making.
Innovate and deploy scalable ML solutions using media data to forecast engagement and title performance.
Collaborate with analytics and strategy teams across regions to translate business questions into machine learning solutions.
Own the full ML lifecycle—ideation, feature engineering, training, evaluation, deployment, monitoring, and continuous improvement.
Partner with data engineering, ML Ops, and platform teams to influence infrastructure and production readiness.
Communicate complex results clearly to cross-functional partners and drive data-driven decision making.
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