Senior Data Scientist and Modeler

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. The Custom Media Analytics Delivery team sits within Nielsen's Commercial organization and functions as an incubator for new innovative products. We leverage existing Nielsen datasets to build custom solutions that don't yet exist in Nielsen's standard product portfolio. That means taking raw, often messy datasets from across Nielsen's ecosystem and turning them into something a client can actually use — which requires knowing the data deeply, modeling it correctly, and moving fast. What You'll Do Design and build new measurement products by combining Nielsen datasets across National and Local linear TV, Streaming, Audio, and Digital — understanding the weighting rules, projection logic, and methodology differences that make cross-dataset work hard to get right Develop statistical and machine learning models that extend or adapt Nielsen methodologies to answer questions that standard products can't address Write production-quality SQL, Python, and PySpark to extract, transform, and model data from Nielsen's cloud data environment Build reusable data pipelines and ETL workflows that allow custom solutions to be delivered repeatably rather than rebuilt from scratch each time Use AI tools actively — to validate models, accelerate pipeline development, stress-test logic, and compress the time between concept and delivery Translate s