Senior Ops Research Scientist - Supply Chain Optimizer

McKesson Corporation; Irving (TX); On-site; USD 136,300 - 227,100; Full time

Job summary

McKesson is leading in health care, employing data science to optimize supply chain operations. The Senior Operations Research Scientist will architect simulation and optimization solutions, applying stochastic methods to inventory, transportation, and labor planning.

The role requires strong modeling skills and the ability to communicate insights to executives. Based in Irving, TX, the candidate will drive adoption, measure impact, and collaborate with the Enterprise Data Science Team to

Qualifications

• Degree or equivalent and typically requires 7+ years of relevant experience.

Responsibilities

• Develop digital twins and simulation/optimization frameworks to aid decision making across supply chain areas such as inventory, transportation, and labor planning.
• Translate simulation and optimization outputs into concrete recommendations to business partners.
• Architect, implement, adopt, and measure impact of stochastic simulation/optimization solutions and improve existing ones.

Skills

Stochastic process simulations

Probability & statistics foundations

Data wrangling (SQL)

Statistical modeling (Python/R)

Communication to executive audiences

7+ years of relevant experience

Education

Degree in quantitative field

Tools

Python

R

SQL

Databricks

Snowflake

Azure ML

Job description

McKesson is leading in health care, employing data science to optimize supply chain operations. The Senior Operations Research Scientist will architect simulation and optimization solutions, applying stochastic methods to inventory, transportation, and labor planning.

The role requires strong modeling skills and the ability to communicate insights to executives. Based in Irving, TX, the candidate will drive adoption, measure impact, and collaborate with the Enterprise Data Science Team to