Data Scientist

A world leader in cloud solutions using tomorrow's technology to tackle today's problems, with 40+ years of experience.
United States
$65,600 - $158,200
Data
Mid-Level Software Engineer
In-Person
4+ years of experience
AI · Healthcare · Enterprise SaaS

Description For Data Scientist

Oracle is seeking a Data Scientist to modernize their OHAI's Payer product portfolio with AI native applications. This is a greenfield opportunity to design and build new AI native cloud applications from the ground up. The role focuses on architecting, developing, and deploying state-of-the-art models to power their Payer product suite. Working within Oracle's cloud infrastructure (OCI), you'll collaborate with cross-functional teams to unlock machine learning capabilities across products. The position offers the unique advantage of working with a startup mindset while being backed by Oracle's stability and resources. The role involves working with cutting-edge AI technology, particularly in healthcare applications, including medical language learning, document interpretation, and knowledge graph development. You'll be part of a dynamic, flexible workplace that encourages autonomy while providing necessary support. The position offers competitive compensation, comprehensive benefits, and the opportunity to work on impactful projects at scale. This role is perfect for someone who combines technical expertise in AI/ML with a passion for healthcare innovation and the ability to work in a fast-paced, evolving environment.

Last updated a month ago

Responsibilities For Data Scientist

  • Design and develop solutions for medical language learning through language models
  • Interpret health documents and derive meaningful insights
  • Transform rules and workflows into knowledge graphs
  • Work with Engineering team for training data acquisition and data analysis
  • Design, develop, and optimize RAG models
  • Fine-tune and optimize large language models
  • Implement NLP, NLU, and NLG techniques
  • Collaborate with engineers to integrate machine learning models into production systems

Requirements For Data Scientist

Python
Kubernetes
  • Master's degree or PhD in Computer Science, Engineering, Mathematics, or related experience
  • 4+ years of experience in data science
  • Strong programming skills in Python
  • Experience with cloud platforms and containerization technologies
  • Solid understanding of NLP fundamentals
  • Expertise in developing RAG models
  • Strong communication skills
  • Experience with machine learning libraries like TensorFlow, PyTorch, or R
  • Comfortable with ambiguity and strong sense of ownership

Benefits For Data Scientist

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Medical, dental, and vision insurance
  • Short term and long term disability
  • Life insurance and AD&D
  • Health care and dependent care Flexible Spending Accounts
  • 401(k) Savings and Investment Plan with company match
  • Flexible Vacation
  • 11 paid holidays
  • Paid sick leave
  • Paid parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan

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