Senior Data Scientist - Supply Chain Optimization

Tiger Analytics; Wisconsin; On-site; USD 95,000 - 122,000; Full time

Benefits offered by this job

Medical insurance

401k plan

HSA

Paid time off

MyFlexPay access

Job summary

Cardinal Health is seeking a Senior Data Scientist Operations Research to identify business problems with clients and develop data-driven solutions. The role focuses on predictive modeling, optimization, and prescriptive analytics to improve supply chain performance.

You will work with data engineers and cross-functional teams to design models, evaluate alternatives, and communicate financial and operational impacts. Some travel 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 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 (e.g. AnyLogic), or Mathematical Programming (e.g. CPLEX) software preferred.
• 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-built 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

Tableau

SAS

AnyLogic

CPLEX

Education

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

Bachelors in quantitative field

Tools

AnyLogic

CPLEX

Alteryx

Tableau

Job description

Cardinal Health is seeking a Senior Data Scientist Operations Research to identify business problems with clients and develop data-driven solutions. The role focuses on predictive modeling, optimization, and prescriptive analytics to improve supply chain performance.

You will work with data engineers and cross-functional teams to design models, evaluate alternatives, and communicate financial and operational impacts. Some travel may be required.