Data Scientist 4

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.

We are seeking a highly motivated Data Scientist / Data Engineer to design and build AI Agents that solve critical business challenges. The ideal candidate combines strong engineering discipline with deep AI/ML expertise, and is comfortable working end-to-end—from data processing to deploying intelligent agentic solutions.

Only Oracle brings together the data, infrastructure, applications, and 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 leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Responsibilities 

• Design, develop, and deploy AI Agents using generative AI, traditional ML, and modern agentic frameworks (including MCP).
• Build robust data pipelines and services to support agent reasoning, context retrieval, and real-time decision-making.
• Develop and maintain Python-based microservices and APIs that integrate AI Agents into business applications.
• Work closely with product and engineering teams to translate business problems into scalable AI solutions.
• Evaluate and tune models (LLMs, embeddings, and classic ML algorithms) to ensure accuracy, performance, and reliability.
• Implement best practices for MLOps, observability, versioning, testing, and continuous improvement of agent behaviors.
• Research emerging AI techniques and identify opportunities to enhance agent capabilities and automation.
• Ensure solutions follow enterprise governance, security, and compliance standards.

Career Level - IC4