Senior Applied Scientist - Oracle Analytics

We are looking for a Senior Applied Scientist to support the development of next-generation generative AI powered solutions for Oracle Analytics. You will be responsible for designing new approaches to natural language based interaction with structured data, creating agentic systems for multi-faceted data analysis, developing advanced personalization and customization techniques, and integrating your solutions into intelligent applications for industry verticals. You will conduct in-depth research, produce production-ready code, and collaborate with a cross-functional team to integrate your work into applications and services.

This role requires deep expertise in machine learning, data science and generative AI, including LLMs (fine-tuning, adaptation, personalization), agents/agent frameworks, and tool orchestration. Preferred qualifications include practical experience with machine learning approaches for structured data, tabular representation learning, graph neural networks, time series modeling, and operations research/mathematical optimization.

Candidates should have the demonstrated ability to design novel solutions that advance the state of the art in response to business requirements, as evidenced by publications in first-tier conferences or journals and impact on successfully deployed software products that operate at scale.

Responsibilities:

Collaborate with a larger science team to develop innovative science solutions in response to business requirements.

Research and develop innovative approaches leveraging recent advances in generative AI, mathematical optimization, and machine learning for structured data.

Write high quality code to power experiments and build models. Contribute to writing production model code.

Collaborate with data engineers to provide guidelines for data collection and annotation.

Collaborate closely with cross-functional teams to deliver solutions into various applications and products.

Identify new opportunities for scientific exploration and evaluate emerging technologies.

Qualifications and Experience:

PhD in Computer Science, Mathematics, Statistics, Engineering, or a related field and a minimum of 5 years work experience in AI/Generative AI/Machine Learning in an industry setting.

Publication record in first-tier journals or conferences.

Hands-on experience in generative AI and model/application evaluation.

Proficiency in Python, SQL, Spark.

Strong understanding of machine learning algorithms and architectures

Excellent problem-solving and analytical skills

Strong communication abilities.

Career Level - IC3