Senior Member Technical Staff (Lead Data Science Engineer (Media Tech))

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.

Gracenote, a Nielsen company, is dedicated to connecting audiences to the entertainment they love, powering a better media future for all people. Gracenote is the content data business unit of Nielsen that 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 and discover new ones.

Gracenote’s industry-leading datasets cover TV programs, movies, sports, music and podcasts in 80 countries and 35 languages. Gracenote provides 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.

Gracenote's Data Organization is a dynamic and innovative group that is essential in delivering business outcomes through data, insights, predictive & prescriptive analytics. An extremely motivated team that values creativity, experimentation through continuous learning in an agile and collaborative manner. The data team oversees the whole data lifecycle – from designing, developing and maintaining data architecture that satisfies our business goals to managing data governance and region-specific regulations.

Job Description

As a Lead Data Science Engineer on the Gracenote Media team, you will be responsible for defining the AI/ML strategy, overseeing large-scale data science projects, and leading teams to build cutting-edge machine learning solutions that scale content understanding and generation, entity linkage, and more to achieve the scale that matches our customer’s demands.

Key Responsibilities:

- Define and execute the AI/ML strategy for content generation (Gen-AI), entity linkage and matching, image processing, and content understanding.