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.

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.