Role OverviewThe AI & Data Science team at Cardinal Health builds analytics and artificial intelligence solutions that drive success for the company. As a Data Scientist, you will assess business opportunities and promote the use of data science and analytics within the domain, building internal and external resources and expertise. The team works together with external and internal partners to develop, test, and operationalize data science and analytical solutions, ensuring their adoption by businesses.
What You Will Do
Your day-to-day responsibilities will include leveraging data and analytics methods to develop analytics solutions, working with external and internal partners to develop and operationalize data science and analytical solutions, and ensuring their adoption by businesses. You will also design and develop robust and scalable cloud functions using Python, FastAPI, or Flask, and SQLModel/SQLAlchemy, and integrate microservices with ApigeeX for API management, security, monitoring, and analytics.
Why It Might Be a Fit
As a Data Scientist at Cardinal Health, you will have the opportunity to work with a team that drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities. You will have the chance to develop and operationalize data science and analytical solutions, and ensure their adoption by businesses. You will also have the opportunity to work with a diverse team and contribute to the company's mission to connect patients, providers, payers, pharmacists, and manufacturers for integrated care coordination and better patient management.
Requirements
- 6-8 years of experience
- BTech-BE from Tier 1/2 engineering schools or MStat/MS (Math)/MA Econ/MS Analytics/data science from Tier 1/2 schools
- Knowledge on CI/CD method of working and MLOps
- Lead/Ideate Agentic AI, 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
- Excellent Programming/Data Wrangling skills with some languages like Python, R, Scala, Java, SQL
- Skills in areas like Agentic AI, GenAI, and some other traditional AI techniques like optimization, Statistics, Machine learning, NLP, Image/Video, Speech analytics
- Good knowledge of some of the analytical platforms like GCP, Big Query, Google Cloud Storage, MS Azure, Google Looker, Databricks etc.
- Preferably good knowledge of Agile & SCRUM development processes
Benefits
- Competitive salary
- Equity
- Healthcare
- PTO
- Retirement plan
- Learning budget
- Parental leave
- Wellness programs
- Visa/relocation assistance
- Remote flexibility
- Stipends
- Bonus/commission
- Paid holidays
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