Oracle's Analytics division is looking for an experienced and highly-motivated Senior Principal Applied Scientist to work on AI-based analytics and intelligent applications. In this role you will be responsible for tackling cutting-edge, ambiguous problems in the intersection of generative AI, agents, analytics, machine learning, and optimization. You will lead the design of novel approaches to natural language based interaction with structured data, agentic systems for multi-faceted data analysis, personalization and customization and AI models for industry verticals like finance, supply chain management, or enterprise resource management. You will conduct in-depth research, produce production-grade code and prototypes, and collaborate with a cross-functional team to integrate your work into applications and services. This role requires in-depth expertise in machine learning, deep learning, and generative AI, the ability to design advanced solutions to the most ambiguous and challenging problems in enterprise AI, and a history of successfully transitioning science solutions into production environments. In-depth experience with LLMs, fine-tuning, in-context learning, agents/agent frameworks, tool orchestration, planning/reasoning, and model evaluation is a must. Preferred qualifications include familiarity with machine learning approaches for structured data, tabular representation learning, nl2sql, graph-based learning, time series modeling, operations research, and optimization.