Senior Data Scientist

What Data Science contributes to Cardinal Health

The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present

relevant insights that drive business decisions and anticipate opportunities to achieve a competitive

advantage. This function manages analytic data platforms, the access, design and implementation of

reporting/business intelligence solutions, and the application of advanced quantitative modeling.

Data Science applies base, scientific methodologies from various disciplines, techniques and tools that

extracts knowledge and insight from data to solve complex business problems on large data sets,

integrating multiple systems.

Qualifications

• 8-15 years of experience, preferred
• Bachelor's degree in related field, or equivalent work experience, preferred
• Good understanding of descriptive statistics, time series analysis, regression and classification algorithms.
• Experience in running and monitoring CI/CD pipelines
• Lead/Ideate GenAI and Classic ML initiative in AICoE
• Design ML/LLM pipelines good knowledge of RAG, prompt engineering.
• Monitor system performance, logs, retrieval quality and prompt-effectiveness
• Design, develop, and maintain robust and scalable cloud functions using Python, FastAPI or Flask, and SQLModel/SQLAlchemy.
• Integrate microservices with ApigeeX for API management, security (authentication, authorization, rate limiting), monitoring, and analytics.

What is expected of you and others at this level

• Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
• Participates in the development of policies and procedures to achieve specific goals
• Recommends new practices, processes, metrics, or models
• Works on or may lead complex projects of large scope
• Projects may have significant and long-term impact
• Provides solutions which may set precedent
• Independently determines method for completion of new projects
• Receives guidance on overall project objectives
• Acts as a mentor to less experienced colleagues