Combinatorial and continuous optimization problems
This role offers a unique opportunity to impact global trade via the largest container shipping company in the world
Job Summary
This role offers a unique opportunity to impact global trade via the largest container shipping company in the world.
You will drive research science efforts to gather network planning requirements and solve end-to-end supply chain optimization problems.
The position requires designing efficient research prototypes that unlock value through value-driven analytics and optimization for Maersk's Ground Freight Business.
Matching Summary
This role offers a unique opportunity to impact global trade via the largest container shipping company in the world.
Skills & Requirements
Must-have
5+ years industry experience in data science
Python, R, Java programming languages
Combinatorial and continuous optimization problems
Predictive and prescriptive analytics expertise
Hadoop, Git/SVN, JIRA technologies
Nice-to-have
Experience in transportation or logistics sector
Rapid prototyping and experimentation skills
Strong stakeholder communication abilities
Microsoft Excel proficiency
Deep dive scenario simulation capabilities
Key Requirements
PhD or M.Sc. in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science
Equivalent experience to advanced degree in algorithms and data
5+ years of industry experience in building data science models