Supply Chain Data Scientist - Optimization & Forecasting

Cardinal Health; Nashville (TN); On-site; USD 95,000 - 122,000; Full time

Benefits offered by this job

Medical coverage

Paid time off

HSA

401k savings plan

MyFlexPay access

FSAs

Disability insurance

Work-Life resources

Parental leave

Wellness programs

Job summary

Cardinal Health is seeking a Data Scientist, Operations Research Analyst to join the DS2 team. You will forecast demand, build optimization and simulation models, and deliver actionable insights to improve pharmaceutical supply chain performance.

You will collaborate with Supply Chain Data Scientists, Analysts, and Engineers to design solutions across distribution, warehouse, labor, inventory, and transportation domains. Travel up to 5% may be required.

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
• 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

2-4 yrs exp

Quantitative degree

MS/MBA (DS/OR/IE/Stats)

DS in logistics

SQL

R

Python

Tableau

Alteryx

SAS

AnyLogic

CPLEX

Teamwork

Communication

Curiosity

Bias for action

Travel 5%

Education

Bachelor's degree in quantitative field

MS/MBA in related field

Tools

SQL

R

Python

Tableau

Alteryx

SAS

AnyLogic

CPLEX

Job description

Cardinal Health is seeking a Data Scientist, Operations Research Analyst to join the DS2 team. You will forecast demand, build optimization and simulation models, and deliver actionable insights to improve pharmaceutical supply chain performance.

You will collaborate with Supply Chain Data Scientists, Analysts, and Engineers to design solutions across distribution, warehouse, labor, inventory, and transportation domains. Travel up to 5% may be required.