Cardinal Health, Inc.
healthcare services and products
SrAnalyst-DataScience
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr Analyst - Data Science at Cardinal Health, Inc.. Skills: Data Science, Machine Learning, AI, Analytics, Python, SQL, GCP, Big Query. develop, test and operationalize data science and analytical solutions. ensure adoption of solutions by businesses”
What You'll Achieve.
creating material savings, efficiencies and revenue growth opportunities
Industry & Context.
analytical solutions
What They're Looking For.
Must Have
BTech-BE from Tier 1/2 engineering schools, 3+ years of experience
Nice to Have
Knowledge on Agentic AI, GenAI and Classic ML initiative in AICoE, Design ML/LLM pipelines, knowledge of RAG, prompt engineering, Develop, and maintain 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, Programming/ Data Wrangling skills with some languages like Python, R, Scala, Java, SQL, Good knowledge of GCP, Big Query, Google Cloud Storage, Google Looker, Databricks etc., Preferably good knowledge of Agile & SCRUM development processes
What You'll Do.
test and operationalize data science and analytical solutions
ensure adoption of solutions by businesses
leverage data and analytics methods to develop analytics solutions
How You'll Work.
Team & Collaboration
work hands-on and together with external and internal partners
Communication Scope
Excellent communication and storytelling skills (oral, written and presentation)
Full Job Description
_Senior Data/Machine Learning Analyst_ 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 intelligence solutions 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_** * As Data / Machine learning analyst work hands-on and together with external and internal partners to develop, test and operationalize data science and analytical solutions as well as ensure its adoption by businesses. * Work to leverage data (Transactional / Big Data, External/ Internal Data, Structured/ Unstructured Data) and analytics methods to develop analytics solutions ** _Qualifications_** * 3+ years of experience, preferred * BTech-BE from Tier 1/2 engineering schools * Knowledge on Agentic AI, GenAI and Classic ML initiative in AICoE * Design ML/LLM pipelines, knowledge of RAG, prompt engineering. * Develop, and maintain 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. * Programming/ Data Wrangling skills with some languages like Python, R, Scala, Java, SQL * Good knowledge of GCP, Big Query, Google Cloud Storage, Google Looker, Databricks etc. * Preferably good knowledge of Agile & SCRUM development processes * Excellent communication and storytelling skills
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