Software Developer

Oracle; Zürich; Hybrid; CHF 140,000 - 210,000; Full time

Job summary

Oracle Corporation in Zurich is seeking a Principal Data Scientist to drive AI-powered data platforms. The role sits in a hybrid environment, blending on-site collaboration with remote work as appropriate.

You will apply ML, design scalable systems, and guide end-to-end data solutions across the enterprise. Required qualifications include a MSc in CS/DS/ML or equivalent, 5+ years of experience, and deep knowledge of Generative AI, LLMs, RAG, and multi-agent frameworks such as LangGraph or

Qualifications

• MSc degree in Computer Science, Data Science, Machine Learning, or related technical field or equivalent practical experience.
• Strong software development experience with 5+ years in data science or ML.

Skills

Generative AI

LLMs

RAG

Agent frameworks

Agent planning

Education

MSc in CS/DS/ML

PhD preferred

Tools

LangGraph

CrewAI

Job description

Principal Data Scientist

Location: Zurich, hybrid

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/careers

About the team

Are 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 together.

Required skills

• 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 with 5+ 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

Preferred Skills

• 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.lop, troubleshoot and debug software programs for databases, applications, tools, networks etc.