Data Scientist - Supply Chain Optimization & Forecasting

Cardinal Health; Des Moines (IA); On-site; USD 95,000 - 122,000; Full time

Job summary

Cardinal Health in the United States is seeking a Data Scientist in Supply Chain Operations to join the DS2 team. You will apply analytics to forecast demand, build optimization and simulation models, and communicate actionable insights to cross-functional teams.

You will work on distribution network design, warehouse operations, labor and transportation planning, and inventory strategies to improve service levels and reduce costs.

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 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
• Intellectual curiosity, humility, genuine respect and desire to help others
• Bias for action and passion for driving change
• Ability 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

Python

R

Alteryx

Tableau

SAS

AnyLogic

CPLEX

Communication

Teamwork

Education

Bachelor's degree

MS/MBA in Data Science/OR/Industrial Engineering/Statistics

Tools

SQL

AnyLogic

CPLEX

Job description

Cardinal Health in the United States is seeking a Data Scientist in Supply Chain Operations to join the DS2 team. You will apply analytics to forecast demand, build optimization and simulation models, and communicate actionable insights to cross-functional teams.

You will work on distribution network design, warehouse operations, labor and transportation planning, and inventory strategies to improve service levels and reduce costs.