Full Stack Data Scientist

Cardinal Health • Oklahoma City, OK

439d • $93,500 - $133,600

About The Position

As a Full Stack Data Scientist at Cardinal Health's AI CoE, you will be instrumental in leveraging technology to enhance healthcare solutions. This role involves collaborating with business stakeholders to develop data-driven applications, building 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.

Requirements

• 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, Styled Components).
• 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 and integration concepts including GCP, Vertex AI, Cloud functions.

Nice To Haves

• 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.

Responsibilities

• 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 applications like forecasting, classification, and churn prediction.
• Explore and implement Generative AI technologies to enhance applications or create new solutions, ensuring reliable deployment and maintenance in production environments.
• Design and implement RESTful APIs to integrate ML models or GenAI solutions with other applications and systems.
• Design, develop, and maintain robust and scalable ML pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
• Ensure scalability and performance of ML and GenAI applications, even with large data volumes.
• Develop interactive and insightful visualizations to communicate results of data analysis and ML/GenAI models to stakeholders.
• Collaborate with cross-functional teams to ensure successful project delivery.
• Stay current on the latest trends in AI and experiment with new ML and GenAI technologies.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Merchant Wholesalers, Nondurable Goods
• Education Level: Bachelor's degree