Senior AI Data Scientist / Member Technical Staff II

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.

Role Overview:

As a Senior AI Data Scientist / Meber Technical Staff II on the Gracenote 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.
• Development of next-generation content generation systems using Large
• Language Models (LLMs)
• Architect scalable data platforms to support real-time and batch processing of media-rich
• datasets.
• Own the Data Quality of the deliverables and ensure the consistent performance of the
• models and its output quality.
• Define and implement standards for the organization that match industry best practices.
• Collaborate with product, engineering, and business teams to drive AI-powered
• innovation.
• Improve computer vision models for automated content tagging, video summarization,
• and understanding.
• Oversee MLOps infrastructure to ensure robust deployment and monitoring of ML
• models.
• Stay ahead of emerging trends in AI, deep learning, and media tech, integrating new
• research into practical applications.
• Mentor and grow a team of data scientists and engineers.

Required Skills:

• Expert-level proficiency in Python, SQL, and big data tools (Spark, Kafka, Airflow).
• Expert-level proficiency in RAG
• Extensive experience in Deep learning, reinforcement learning, NLP, and computer
• vision.
• Experience in large-scale machine learning model deployment and optimization.
• Proven leadership skills in building and scaling data science teams.
• Experience with Kubernetes, Docker, and cloud AI services.

 

• Master’s in AI, Machine Learning, Data Science, or a related field.
• 4+ years of experience in data science and machine learning
• Strong track record in building AI-driven solutions for media and entertainment.

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