The Media Group at NBCU is looking to enhance audience engagement across streaming and linear platforms by designing and delivering data-driven insights and solutions.
Requirements
- 2+ years of experience applying statistical and machine learning methods for inference and prediction in a professional setting.
- Proficiency in Python and SQL, with experience working in cloud-based data environments such as BigQuery or PySpark.
- Demonstrated experience using relational databases and applying data visualization techniques to communicate analytical insights.
- Experience designing and deploying scalable data and machine learning pipelines, ideally in cluster computing environments such as Databricks or Google Cloud Platform and orchestration tools like Airflow.
- Strong oral and written communication skills, with the ability to explain complex concepts to diverse stakeholder through clear narratives, well-structured documentation, and effective data visualizations using tools such as Tableau.
Responsibilities
- Develop and deliver impactful analytical solutions and tools using statistical modeling, machine learning, and data science techniques to uncover audience insights and support decision-making.
- Translate complex business problems into data-driven approaches by partnering with cross-functional teams (e.g. Advanced Analytics, Content Strategy, Consumer Insights, etc.) and communicating findings clearly to technical and non-technical audiences.
- Contribute meaningfully to project execution, including scoping, data exploration, modeling, validation, and documentation across both ad hoc and recurring workflows.
- Advance the team’s analytical rigor and technical standards by contributing to methodology development, peer reviews, and collaborative problem solving.
- Think critically and rigorously about leveraging available data effectively, identifying opportunities for deeper audience understanding and improved business outcomes.
Other
- Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional stakeholders, translating business needs to analytical approaches and delivering clear, actionable insights.
- Team-oriented and collaborative, with a proactive approach to problem-solving and learning.
- Strong sense of curiosity, accountability, and execution, with the ability to lead and contribute to projects of various sizes with clarity and purpose.
- Enthusiastic about video, TV, and streaming content, with an interest in leveraging data to better understand audiences.
