<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>Principal Data Scientist</p><p><br/></p><p><br/>Location: Zurich, hybri</p><p><br/></p><p>d<br/>Only Oracle brings together the data, infrastructure, applications, and trusted expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company that’s leading the way in AI and cloud solutions that impact billions of lives for the better. Explore opportunities at oracle.com/caree</p><p><br/></p><p><strong>rs<br/>About the t</strong></p><p>eamAre you ready to help shape the future of intelligent data systems? We are looking for experienced engineers to drive the development of the next generation of scalable, AI-driven platforms. This high-impact role sits at the intersection of artificial intelligence, data engineering, and enterprise architecture where your ideas and expertise will directly influence how data and intelligence come togeth</p><p><br/></p><p><strong>er.<br/>Required sk</strong></p><ul><li>illsMSc degree in Computer Science, Data Science, Machine Learning, or related technical field or equivalent practical experi</li><li>enceStrong software development experience through hands on coding with 10+ years of related work experience in data science or machine learn</li><li>ing.Experience with Generative AI systems, including large language models (LLMs), retrieval-augmented generation (RAG), and model evaluat</li><li>ion.Practical experience with AI Agent frameworks and architectures, such as LangGraph, CrewAI, or similar multi-agent / orchestration framew</li><li>orksDeep understanding of AI Agent concepts, including agent planning, tool use, agent memory management, multi-agent collaboration, autonomous decision-making, and agent evaluat</li><li>ion.Experience in formulating analytical problems into actionable research and applying advanced techniques for problem sol</li><li>vingGood communication skills to convey sophisticated topics in straightforward t</li><li>ermsWorking proficiency in verbal and written Eng</li></ul><p><br/></p><p><br/></p><p><strong>lish<br/><br/>Preferred </strong></p><ul><li>SkillsPhD degree in Computer Science or Machine Learning or related technical field, or equivalent practical exper</li><li>ience.Distinguished problem-solving s</li><li>kills.Stellar analytical skills along with communication and presentation s</li><li>kills.Deep comprehension of the importance of tea</li></ul><p><br/></p>mwork. </div>