Senior Principal Data Scientist - GenAI.ML / AgenticAI at NielsenIQ

Senior Principal Data Scientist The NielsenIQ Strategic Analytics and Insights team builds and scales globally deployed analytics and AI products that power decision‑making for retailers and manufacturers worldwide. Leveraging industry‑leading data assets and modern cloud platforms, we design always‑on, production‑grade AI systems embedded directly into client‑facing and internal products.  We are hiring a Principal Data Scientist with deep expertise in Machine Learning, Generative AI, and Agentic AI systems. This is a senior, hands‑on technical role for an experienced AI practitioner who has designed, built, and deployed LLM‑powered systems in production, not just experimented with them.  In this role, you will work closely with Product, Engineering, and Platform teams to take ideas from concept through deployment, while influencing AI architecture, standards, and best practices across the organization.  Lead Advanced AI & Generative AI Solutions  • Design, develop, and deploy advanced AI/ML systems, with a strong focus on Generative AI and Agentic AI (e.g., LLM‑based reasoning, planning, tool use, and orchestration).  • Architect and implement LLM‑powered applications, including prompt engineering, retrieval‑augmented generation (RAG), fine‑tuning, and evaluation frameworks.  • Design agentic workflows that combine models, tools, memory, and business logic to solve complex, multi‑step analytical and decision‑making problems.  • Translate ambiguous business and product challenges into scalable AI system designs, selecting the right modeling and GenAI approaches. Build From Prototype to Production  • Rapidly prototype and validate new AI capabilities, then partner with Engineering to deliver secure, reliable, production‑grade systems.  • Define and uphold standards for model quality, performance, monitoring, and lifecycle management across ML and GenAI solutions.  • Ensure AI systems meet enterprise expectations for governance, explainability, robustness, and responsible AI use. Influence and Collaborate Across Teams  • Act as a technical leader and trusted advisor across Data Science, Product, Engineering, and Platform teams.  • Clearly communicate complex technical concepts, trade‑offs, and recommendations to both technical and non‑technical stakeholders.  • Drive initiatives end‑to‑end, aligning across multiple teams and managing dependencies in a fast‑moving environment. Mentor and Shape Technical Excellence  • Mentor and guide other data scientists, promoting best practices in ML, GenAI system design, and software engineering.  • Stay current with advances in LLMs, multimodal models, agent frameworks, optimization techniques, and cloud‑native AI architectures, and help translate them into practical, high‑impact solutions.