Principal Data Scientist

Oracle Oracle · Enterprise · ZURICH, Switzerland

This Principal Data Scientist role focuses on developing next-generation scalable, AI-driven platforms, specifically in Generative AI and AI Agent systems. The role involves hands-on coding, deep understanding of AI Agent concepts, and experience with frameworks like LangGraph or CrewAI. It sits at the intersection of AI, data engineering, and enterprise architecture.

What you'd actually do

  1. drive the development of the next generation of scalable, AI-driven platforms
  2. your ideas and expertise will directly influence how data and intelligence come together
  3. defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems

Skills

Required

  • MSc degree in Computer Science, Data Science, Machine Learning, or related technical field or equivalent practical experience
  • Strong software development experience through hands on coding
  • 10+ years of related work experience in data science or machine learning
  • Experience with Generative AI systems, including large language models (LLMs), retrieval-augmented generation (RAG), and model evaluation.
  • Practical experience with AI Agent frameworks and architectures, such as LangGraph, CrewAI, or similar multi-agent / orchestration frameworks
  • Deep understanding of AI Agent concepts, including agent planning, tool use, agent memory management, multi-agent collaboration, autonomous decision-making, and agent evaluation.
  • Experience in formulating analytical problems into actionable research and applying advanced techniques for problem solving
  • Good communication skills to convey sophisticated topics in straightforward terms
  • Working proficiency in verbal and written English

Nice to have

  • PhD degree in Computer Science or Machine Learning or related technical field, or equivalent practical experience.
  • Distinguished problem-solving skills.
  • Stellar analytical skills along with communication and presentation skills.
  • Deep comprehension of the importance of teamwork.

What the JD emphasized

  • 10+ years of related work experience in data science or machine learning
  • Experience with Generative AI systems, including large language models (LLMs), retrieval-augmented generation (RAG), and model evaluation.
  • Practical experience with AI Agent frameworks and architectures, such as LangGraph, CrewAI, or similar multi-agent / orchestration frameworks
  • Deep understanding of AI Agent concepts, including agent planning, tool use, agent memory management, multi-agent collaboration, autonomous decision-making, and agent evaluation.

Other signals

  • Generative AI systems
  • large language models (LLMs)
  • retrieval-augmented generation (RAG)
  • model evaluation
  • AI Agent frameworks and architectures
  • multi-agent / orchestration frameworks
  • agent planning
  • tool use
  • agent memory management
  • multi-agent collaboration
  • autonomous decision-making
  • agent evaluation