Cardinal Health
Join Cardinal Health's Data Science Team!
The Data and Analytics Function plays a crucial role in overseeing the analytics life-cycle—identifying, analyzing, and presenting insights that directly influence business decisions and reveal opportunities for competitive advantage. If you are passionate about applying advanced quantitative modeling and scientific methodologies to solve complex business challenges using large data sets, we want to hear from you!
About the Team
We are excited to welcome a Data Scientist, Operations Research Analyst to our Decision Science Solutions (DS2) team. Our mission is to enhance pharmaceutical supply chain performance, allowing our pharmacy customers to focus on delivering better patient care. The DS2 team is composed of diverse professionals—Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. Together, we collaborate cross-functionally to tackle problems and leverage our combined skill sets for optimal outcomes. We specialize in:
Designing and planning distribution center networks
Optimizing facility layouts and warehouse capacity
Improving warehouse processes
Managing labor and automation
Formulating strategies for inventory management
Planning transportation logistics
Conducting sales and operations planning
Your Role
As a Data Scientist specializing in Supply Chain Operations, you will utilize your expertise to explore business processes, systems, data, and analytical tools to identify and address root causes of issues. Key responsibilities include:
Listening to clients to clarify business problems and requirements
Conducting exploratory analysis to troubleshoot issues and validate hypotheses
Building predictive models for forecasting demand and resource needs
Creating customer and product segmentation models for tailored supply chain solutions
Developing optimization and simulation models to recommend strategic changes
Utilizing third-party software and custom-built models for prescriptive analytics
Summarizing recommendations with financial and operational impact assessments
Collaborating with Data Engineers to develop analytical data models
What We Seek
2-4 years of relevant experience
Bachelor's degree in a quantitative field or equivalent experience
Advanced degree (MS/MBA) in Data Science, Operations Research, or a related field is preferred
Experience applying Data Science and Operations Research in logistics and supply chain management
Proficiency in SQL and familiarity with database management
Expertise in data analysis tools such as R, Python, Alteryx, Tableau, and SAS
Familiarity with Strategic Network Design, Simulation (AnyLogic), or Mathematical Programming (CPLEX) is a plus
Strong team player with proven analytical abilities
Excellent communication skills with a knack for simplifying complex analyses
Intellectual curiosity and a passion for helping others
Willingness to take initiative and drive change
Ability to travel up to 5%
What to Expect
Engage with complex projects that demand innovative solutions
Gain independence while receiving guidance on new tasks
Life-changing experiences with a focus on professional growth
Potential to mentor less experienced colleagues
Salary Range:
$93,500 - $133,600 Bonus:
Not eligible Benefits:
We offer a robust benefits package including medical, dental, and vision coverage, paid time off, 401k savings plan, health savings account (HSA), and more! Application Deadline:
Anticipated to close on 9/15/2025; apply early to secure your chance! At Cardinal Health, we value a diverse workforce and are committed to equal opportunities for all applicants. We encourage individuals from all backgrounds to apply.
$93,500 - $133,600 Bonus:
Not eligible Benefits:
We offer a robust benefits package including medical, dental, and vision coverage, paid time off, 401k savings plan, health savings account (HSA), and more! Application Deadline:
Anticipated to close on 9/15/2025; apply early to secure your chance! At Cardinal Health, we value a diverse workforce and are committed to equal opportunities for all applicants. We encourage individuals from all backgrounds to apply.