Principal Data Scientist

Oracle•United States,

1d•$114,600 - $234,600

About The Position

We are seeking an Applied Scientist to develop and productionize AI capabilities supporting a strategic enterprise customer engagement. The team is initially focused on understanding and solving high-value customer needs in a scientific-labs setting, while creating reusable AI platform capabilities that can scale to broader OCI customers. In this role, you will work closely with software engineers, product managers, customer technical teams, and other scientists to turn customer workflows and business problems into practical AI solutions. You will contribute to experimentation, model evaluation, data analysis, prototype development, and production deployment across areas such as generative AI, retrieval-augmented generation (RAG), agentic systems, model training, and model evaluation. 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.

Requirements

Applied Scientist background
Experience in developing and productionizing AI capabilities
Experience in understanding and solving customer needs
Experience in creating reusable AI platform capabilities
Experience working with software engineers, product managers, customer technical teams, and other scientists
Experience turning customer workflows and business problems into practical AI solutions
Experience in experimentation, model evaluation, data analysis, prototype development, and production deployment
Experience in areas such as generative AI, retrieval-augmented generation (RAG), agentic systems, model training, and model evaluation

Responsibilities

Develop and productionize AI capabilities
Understand and solve high-value customer needs
Create reusable AI platform capabilities
Work closely with software engineers, product managers, customer technical teams, and other scientists
Turn customer workflows and business problems into practical AI solutions
Contribute to experimentation, model evaluation, data analysis, prototype development, and production deployment
Work across areas such as generative AI, retrieval-augmented generation (RAG), agentic systems, model training, and model evaluation