Data Scientist, Operations Research

Summary

Cardinal Health’s Data and Analytics Function applies advanced quantitative modeling and analytics to improve business decision-making and competitive advantage. The Data Scientist, Operations Research Analyst will analyze supply chain problems, forecast demand, build optimization and simulation models, recommend solutions, and communicate their financial and operational impacts while collaborating with cross-functional teams and Data Engineers.

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

• 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
• 2-4 years of experience
• Bachelor's degree in a quantitative field, or equivalent work experience
• MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics
• Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems
• Experience with Structured Query Language (SQL) and working with databases
• Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS
• Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software

Qualifications

Must Haves

• 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

Nice to Haves

• 2-4 years of experience
• Bachelor's degree in a quantitative field, or equivalent work experience
• MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics
• Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems
• Experience with Structured Query Language (SQL) and working with databases
• Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS
• Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software

Benefits

• Medical, dental and vision coverage
• Paid time off plan
• Health savings account (HSA)
• 401k savings plan
• Access to wages before pay day with myFlexPay
• Flexible spending accounts (FSAs)
• Short- and long-term disability coverage
• Work-Life resources
• Paid parental leave
• Healthy lifestyle programs