Data Optimization Specialist

4 weeks ago


Copenhagen, Copenhagen, Denmark Maersk Group - A.P. Møller Mærsk Full time
About the Role

We are seeking a highly skilled Data Optimization Specialist to join our Network Strategy team at Maersk Group - A.P. Møller Mærsk. As a key member of our team, you will be responsible for developing and implementing advanced analytics capabilities to optimize our global ocean transportation network.

Key Responsibilities:

  • Design and develop mathematical models to optimize network operations and decision-making processes.
  • Collaborate with cross-functional teams to identify business needs and develop innovative solutions.
  • Implement algorithms and tools to enhance operational efficiency and drive business value.

Requirements:

  • Master's or PhD degree in engineering, mathematics, or computer science, with a focus on mathematical optimization or AI/machine learning.
  • Minimum 2 years of professional experience in software development, particularly in algorithms and optimization tools.
  • Strong analytical skills and ability to translate business requirements into mathematical models.
  • Excellent communication and interpersonal skills for seamless collaboration.

What We Offer:

  • A dynamic and inclusive work environment with opportunities for growth and innovation.
  • Collaboration with a diverse range of experts in mathematical optimization, business strategy, and software development.
  • Flexible work culture with partial remote work options.

Join Our Team:

Maersk Group - A.P. Møller Mærsk is committed to a diverse and inclusive workplace, and we welcome applicants from diverse backgrounds. We are an equal opportunities employer and welcome applications without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law.



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