Data Scientist: Supply Chain Optimization & Modeling

Cardinal Health; Baton Rouge (LA); On-site; USD 73,000 - 122,000; Full time

Job summary

Cardinal Health is seeking a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. You will apply quantitative methods to supply chain problems across distribution, inventory, and transportation to improve service levels for pharmacy customers.

The role combines forecasting, optimization and simulation with cross-functional collaboration to deliver actionable insights and practical solutions.

Qualifications

• 2-4 years of experience in data science or operations research applied to supply chain problems.
• Bachelor's degree in a quantitative field; MS/MBA preferred.
• Experience with SQL and working with databases preferred.

Responsibilities

• Forecast future demand and build optimization and simulation models.
• Develop customer and product segmentation models to support differentiated services.
• Build optimization and simulation models to recommend capacity investments and process changes.
• Develop prescriptive models using third-party optimization/simulation software.
• Communicate actionable insights to cross-functional teams; summarize financial and operational impact.

Skills

SQL

Python

R

Tableau

Communication skills

Teamwork

Adaptability

Education

Bachelor's degree in quantitative field

MS/MBA in Data Science/Operations Research/Industrial Engineering/Statistics

Tools

AnyLogic

CPLEX

SAS

Tableau

Alteryx

Job description

Cardinal Health is seeking a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. You will apply quantitative methods to supply chain problems across distribution, inventory, and transportation to improve service levels for pharmacy customers.

The role combines forecasting, optimization and simulation with cross-functional collaboration to deliver actionable insights and practical solutions.