Director, AI/ML & Data Science

Responsibilities

• Manage multiple teams of data science and analytics engineers, overseeing both direct and indirect reports.
• Establish technical rigor, culture, and operating rhythms to drive business outcomes for Gracenote.
• Lead initiatives in core data science, NLP, computer vision, and MLOps.
• Oversee the deployment and maintenance of machine learning models, AI/LLM solutions, and data pipelines in production.
• Drive research initiatives to improve statistical sampling, predictive analytics, and prescriptive methodologies.
• Utilize GenAI tools to build and deploy Agentic RAG systems, Small Language Models (SLMs), and content summarization workflows.
• Foster a culture of innovation and continuous learning while maintaining high employee retention and productivity.

Requirements

• Bachelor's, Master's, or PhD in a quantitative field (Computer Science, Data Science, Statistics, Mathematics, etc.).
• 13+ years of experience in Data Science, AI, deep learning, and statistics.
• 10+ years of experience with statistical coding languages including Python, Spark, SAS, R, Scala, or SQL.
• 3-5 years of experience working in cloud-based environments, ideally AWS.
• Hands-on experience with GenAI techniques, including RAG, SLMs, prompt engineering, and fine-tuning models.
• Proven experience with NLP and Computer Vision frameworks (e.g., Hugging Face, PyTorch, TensorFlow, OpenCV).
• Strong track record in team building and managing complex technical organizations.

Preferred Qualifications

• Knowledge of market research methodologies and media consumption trends.
• Experience with data visualization tools such as Tableau, PowerBI, or Looker.
• Experience with low-code/no-code tools like Alteryx.
• Familiarity with MLOps and the Product Development Lifecycle.

About the Company

Nielsen is dedicated to powering a better media future by providing powerful insights that drive client decisions. We capture audience engagement with content wherever and whenever it is consumed, standing at the forefront of the media revolution through a global workforce committed to excellence and innovation.