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Data Scientist
Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with more than 50,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500.
Department Overview
AI & Data Science team builds analytics and artificial intelligencesolutions that drive success for Cardinal Health by creating material savings, efficiencies and revenue growth opportunities.The team drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities.
Job Overview
Responsibilities
Qualifications
Soft Skills
Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.
Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.
Job ID: 152666471
Skills:
Python, Pytorch, Tensorflow, Numpy, Pandas, scikit-learn
Skills:
SAS, Sql, Python, quantitative modeling methods, R, AML risk models, AI ML model development
Skills:
Python, MLOps practices, LLM architectures, fine-tuning techniques, evaluation metrics for generative models
Skills:
Structured Query Language, Kubernetes, Python, large language models, Relational Databases, generative AI applications, data analysis techniques, automated build test and deployment pipelines, agent frameworks
Skills:
Sqlalchemy, Sql, MLops, Flask, FastAPI, Python, SQLModel, ApigeeX, Agent Observation frameworks, Agent Evaluation, GCP Cloud Platform, CI CD, RAG prompt engineering