Supply Chain Data Scientist: Forecasting & Optimization

Cardinal Health; Tallahassee (FL); On-site; USD 95,000 - 122,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off plan

Health savings account (HSA)

401k savings plan

Flex spending accounts (FSAs)

Disability coverage

Work-Life resources

Paid parental leave

Healthy lifestyle programs

Job summary

Cardinal Health is seeking a Data Scientist for the Decision Science Solutions (DS2) team to improve pharmaceutical supply chain performance and support pharmacy customers. You will forecast demand, build optimization and simulation models, and translate insights into actionable business recommendations.

You will collaborate with cross-functional teams to design data-driven solutions that reduce costs and improve service levels.

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 Structured Query Language (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
• 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

Communication skills

Analytical thinking

Team collaboration

Education

Bachelor's degree in quantitative field

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

Tools

AnyLogic

CPLEX

Tableau

R

SAS

Job description

Cardinal Health is seeking a Data Scientist for the Decision Science Solutions (DS2) team to improve pharmaceutical supply chain performance and support pharmacy customers. You will forecast demand, build optimization and simulation models, and translate insights into actionable business recommendations.

You will collaborate with cross-functional teams to design data-driven solutions that reduce costs and improve service levels.