Cardinal Health-posted about 1 year ago
$93,500 - $133,600/Yr
Full-time • Mid Level
Jackson, MS
Merchant Wholesalers, Nondurable Goods

As a Full Stack Data Scientist at Cardinal Health's AI Center of Excellence, you will play a crucial role in leveraging technology to enhance healthcare solutions. This position involves collaborating with business stakeholders to develop data-driven applications, building and maintaining machine learning models, and creating user-friendly interfaces. You will bridge the gap between machine learning and front-end development, ensuring seamless integration of innovative solutions into existing systems.

  • Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with ML/GenAI solutions.
  • Design, train, and optimize machine learning models for various applications like forecasting and classification.
  • Explore and implement Generative AI technologies to enhance applications or create new solutions.
  • Design and implement RESTful APIs to integrate ML models or GenAI solutions with other systems.
  • Design, develop, and maintain robust and scalable ML pipelines, including data ingestion and model monitoring.
  • Ensure scalability and performance of ML and GenAI applications with large data volumes.
  • Develop interactive visualizations to communicate data analysis results to stakeholders.
  • Collaborate with cross-functional teams to ensure successful project delivery.
  • Stay current on the latest trends in AI and experiment with new technologies.
  • Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, or equivalent work experience.
  • At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role.
  • Proficiency in HTML, HTML5, CSS3, JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL.
  • Experience with popular React libraries and tools (e.g., Redux, React Router).
  • Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD pipelines using Concourse.
  • Knowledge of clinical domain and datasets.
  • Experience in Generative AI, RAG implementation, and Large Language Models (LLMs).
  • Experience with Machine Learning technologies such as Jupyter Notebooks, NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.
  • Understanding of cloud data engineering concepts including GCP, Vertex AI, and Cloud storage.
  • 2+ years in the Healthcare industry and knowledge of clinical data.
  • Delivery experience with Google Cloud Platform.
  • Agile development skills and experience.
  • Experience designing and developing machine learning and deep learning solutions.
  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
  • Short- and long-term disability coverage
  • Work-Life resources
  • Paid parental leave
  • Healthy lifestyle programs
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