Sr. Data Scientist, Media Group Decision Sciences

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.As part of the Decision Sciences team, the Senior Data Scientist will be responsible for creating analytical solutions for various verticals of NBCU’s video streaming service. This includes, but is not limited to, dynamic pricing, messaging optimization, CRM solutions, and customer value assessment.In this role, the Senior Data Scientist will employ advanced data science methodologies such as causal uplift modeling, contextual and non-contextual bandits, experimentation, and Generative AI (LLMs). They will collaborate closely with business owners, teammates, and engineers to develop state-of-the-art algorithmic targeting solutions for a dynamic media platform. Additionally, they will be responsible for building, maintaining, and testing robust production-ready systems that may need to serve low-latency predictions.Responsibilities include, but are not limited to:Leading and contributing to projects related to the development of machine learning models, including causal uplift modeling, contextual bandits, and Generative AI techniques.Collaborating with team members through pairing and code reviews.Effectively communicating work and project implications to stakeholders with varying levels of technical expertise.Conducting rigorous cross-validation, backtesting, and offline policy evaluation of machine learning models.Demonstrating familiarity with CI/CD processes and contributing to a sustainable and robust codebase.Working with batch jobs/data pipelines and deploying through systems such as Airflow, Luigi, and Composer.Building and interacting with production systems for serving machine learning predictions, including real-time systems like TensorFlow Extended (TFX) pipelines and TensorFlow Serving.