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Strong Maersk brand and mid-level experience increase applicants, but niche OR/optimization specialization limits competition.
Medium because ML/OR skills transfer across industries, though terminal operations domain knowledge is advantageous.
High due to explicit 5+ years, advanced degree, and specialized simulation and optimization requirements.
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Design, implement, and deliver advanced simulation models and optimization solutions for container terminal operations globally, including equipment efficiency, yard and vessel operations, and truck routing.
Develop operational tools and strategic models that provide actionable insights and improve terminal operational efficiency and decision-making.
Collaborate with stakeholders to translate terminal operational needs into technical AI/ML and optimization solutions, communicate results, and continuously improve delivered models.
5+ years industry experience in building and delivering simulation models, optimization solutions, or data science products.
PhD or M.Sc. in Operations Research, Industrial Engineering, Machine Learning, Statistics, Applied Mathematics, Computer Science, or equivalent experience.
Strong experience in simulation modeling and optimization in operational environments with complex dynamics.
Proficient in Python programming with experience in tools like Git, JIRA, and cloud environments.
Experienced in solving complex operational problems with simulation, combinatorial and continuous optimization, and AI/ML methods including prescriptive analytics and reinforcement learning.
Skilled at independently translating complex operational business requirements into robust technical AI/ML and engineering solutions.
Familiarity with container terminal or similar logistics operations, handling complex resource allocation and sequencing problems, is highly desirable.