27 applicants

Company

Oracle · 1 day ago

Principal Data Scientist - Oracle Health Applications & Infrastructure

United States

Full-time

Remote

Senior Level, Lead/Staff

6+ years exp

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Data GovernanceData Management

No H1B

Security Clearance Required

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Responsibilities

Design and develop solutions for

Medical language learning through language models

Medical code and group code (per various specifications) using large language model

Contract interpretation

Transforming rules and workflows into decision tree using deep learning ML models

Risk detection/anomaly detection using deep learning ML model

Work with Engineering team for training data acquisition and data analysis

Follow the process for ML use case evaluation and planning

Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval

Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts

Fine-tune and optimize large language models such as Cohere for specific use cases in the healthcare.

Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to solve various use cases.

Collaborate with engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceAI/MLPythonTensorFlowPyTorchRCloud PlatformsNLP FundamentalsRAG ModelsVector DatabasesAWSOCIDockerKubernetesNLU TechniquesNLG TechniquesProject Management

Required

Master's degree or PhD in Computer Science, Engineering, Mathematics, or related experience

8 years of experience in data science

Focus on building and deploying language AI

Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or R

Experience with cloud platforms (e.g., AWS, OCI) and containerization technologies (e.g., Docker, Kubernetes)

Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation

Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems

Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders

You are comfortable with ambiguity. You have a strong sense of ownership, can define your own workplan, set goals for others, and can drive projects to completion

You are excited to learn new technologies and stay on the cutting edge of what’s possible

You’ve taken a product or platform from 0 to 1, you know what it takes to launch something