Data Scientist

A world leader in cloud solutions using tomorrow's technology to tackle today's problems.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Healthcare

Description For Data Scientist

At Oracle Health Applications & Infrastructure, we're revolutionizing healthcare through AI/ML and Generative AI. We're seeking a Data Scientist to modernize OHAI's Revenue Cycle product portfolio with AI native applications. This role offers a greenfield opportunity to design and build new AI native cloud applications from the ground up. You'll work on cutting-edge technology while having the stability of Oracle, focusing on medical language learning, autonomous coding, and billing solutions. The position involves collaborating with cross-functional teams to develop state-of-the-art models using Oracle Cloud Infrastructure. We're growing fast and offer significant technical and business impact potential. You'll join a diverse, motivated team with autonomy to innovate while working on transformative healthcare solutions. The role combines startup agility with enterprise resources, perfect for ambitious professionals wanting to make a meaningful impact in healthcare technology.

Last updated 24 days ago

Responsibilities For Data Scientist

  • Design and develop solutions for medical language learning through language models
  • Work with Engineering team for training data acquisition and data analysis
  • Design, develop, and optimize RAG models for information retrieval
  • Fine-tune and optimize large language models for healthcare use cases
  • Implement cutting-edge NLP, NLU, and NLG techniques
  • Collaborate with engineers to integrate ML models into production systems

Requirements For Data Scientist

Python
Kubernetes
  • Master's degree or PhD in Computer Science, Engineering, Mathematics, or related experience
  • 2+ years of experience in data science
  • Strong programming skills in Python and ML libraries (TensorFlow, PyTorch, R)
  • Experience with cloud platforms and containerization technologies
  • Solid understanding of NLP fundamentals
  • Strong communication skills
  • Experience with RAG models and vector databases
  • Problem-solving abilities and pragmatic approach

Benefits For Data Scientist

Medical Insurance
Vision Insurance
401k
  • Medical Insurance
  • Life Insurance
  • 401k

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