Principal Data Scientist (Computer Vision)- 8+ years

Company Description

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.

About Gracenote

Gracenote, a Nielsen company, is dedicated to connecting audiences to the entertainment they love, powering a better media future for all people. As the content data business unit of Nielsen, Gracenote powers innovative entertainment experiences for the world's leading media companies. Our entertainment metadata and connected IDs deliver advanced content navigation and discovery to connect consumers to the content they love. Gracenote's industry-leading datasets cover TV programs, movies, sports, music, and podcasts in 80 countries and 35 languages. We provide common identifiers that are universally adopted by the world's leading media companies, enabling powerful cross-media entertainment experiences. Machine-driven, human-validated best-in-class data and images fuel new search and discovery experiences across every screen.

Role Overview

As a Principal Data Scientist, you will serve as the primary technical architect for our AI/ML ecosystem. You will be responsible for defining the long-term technical vision for media understanding and generation, moving beyond tactical project delivery to build the foundational frameworks that power our next generation of products. This role requires a unique blend of scientific leadership, technical excellence, and the ability to influence cross-functional teams and executive stakeholders without formal authority. You will de-risk new initiatives through prototyping, lead the design of multimodal data foundations, and ensure that our systems scale to meet the demands of a global media catalog.

Key Responsibilities

- Scientific and Strategic Leadership: Shape the technical vision for AI/ML across the content product ecosystem. Identify high-impact opportunities for Generative AI, agentic solutions, and computer vision to transform content promotion, distribution, and metadata extraction.

- System Architecture Design: Architect complex, multimodal machine learning systems that integrate visual, audio, and textual data. Design end-to-end ML data foundations for efficient, reliable data annotation, processing, and storage at petabyte scale.