Data Scientist, Supply Chain Analytics & Optimization

Cardinal Health; Charleston (WV); On-site; USD 95,000 - 122,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401k savings plan

Paid time off

HSA

Job summary

Cardinal Health seeks a Data Scientist, Operations Research Analyst to join the DS2 team, improving pharmaceutical supply chain performance. You will forecast demand, build optimization and simulation models, and present actionable insights to cross-functional teams.

The role emphasizes collaboration, rigorous analysis, and communication to drive changes across distribution, labor, inventory, and transportation domains.

Qualifications

• 2-4 years of experience, preferred
• Bachelor's degree in a quantitative field, or equivalent work experience, preferred
• MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred
• Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred
• Experience with SQL and working with databases preferred
• Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred
• Experience with Strategic Network Design, Simulation (AnyLogic), or Mathematical Programming (CPLEX) software preferred
• Ability to work as part of a team as the key analytical resource
• Excellent communication skills with an ability to explain quantitative analysis in simple business terms
• Capitalizes on intellectual curiosity, humility, and desire to help others
• Willingness to travel up to 5%

Responsibilities

• Listen to clients and ask questions to clearly define business problems.
• Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses.
• Develop predictive models to forecast future volumes that will drive capacity/resource needs.
• Develop customer and product segmentation models and design our supply chain to support differentiated services.
• Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance.
• Develop prescriptive models using 3rd party optimization/simulation software and custom-build models.
• Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered.
• Work with Data Engineers to create data models for analyses.

Skills

SQL

R

Python

Alteryx

Tableau

SAS

AnyLogic

CPLEX

Teamwork

Communication

Education

Bachelor's degree in quantitative field

MS/MBA in Data Science / OR / IE / Statistics

Tools

SQL

AnyLogic

CPLEX

Python

R

Alteryx

Tableau

Job description

Cardinal Health seeks a Data Scientist, Operations Research Analyst to join the DS2 team, improving pharmaceutical supply chain performance. You will forecast demand, build optimization and simulation models, and present actionable insights to cross-functional teams.

The role emphasizes collaboration, rigorous analysis, and communication to drive changes across distribution, labor, inventory, and transportation domains.