Job Description

Opportunity Opportunity Maersk is improving life for all by integrating the world. From the farm to your refrigerator, or the factory to your wardrobe, we are developing software solutions to support our customer needs from one end of the supply chain to the other. Technology is taking center stage in enabling our customers to trade globally and we are building our core products in-house. Join us to help re-think what technology can do and support our global logistics business with high-quality software solutions that enable us to reduce our environmental impact and provide a better experience to our customers through improved automation and decision making. We offer You will be part of the Transported by Maersk Platform focused on streamlining, optimizing, and automating our transportation network end 2 end via advanced software solutions. You will be joining the Scheduling team, where you will design, build and maintain mathematical models and solution algorithms to drive automation of the core business capability. The automation problem is complex with significant value for our customers by being more accurate and reliable, for society by reducing carbon emission and for business through operational excellence. The opportunity is to be part of the journey from early stage as we go from zero automation to build a hands-off Scheduling capability. As a decision scientist you will take central part in designing and implementing core components of decision support software products for our business. You will be part of a strong decision and data science community working together with multiple engineering teams in building applications for the Scheduling domain. You will be a key player in designing decision support tools for core business processes using state of the art models and algorithms. You will be working closely with business stakeholders to make sure the tools you build fit into the business processes to enable smarter decisions and to embed core decision support tools into modern cloud-based software products supporting our business in planning and executing our global network. The Transported by Maersk Platform is a geographically distributed initiative, with world-class engineering teams in Denmark (Copenhagen), Spain (Algeciras), and India (Bangalore, Pune), and end users and stakeholders situated all over the globe - you will be part of this international and diverse organization consisting of highly talented and motivated people from across the world. We offer an exciting and attractive career in an ambitious and competitive environment, with the possibility of continuous professional and personal development. As part of ensuring a successful work-life balance we promote flexible work-hours and the possibility to work from home when at all possible taking both the employee\'s and the company\'s interests into consideration. Key responsibilities Designing, improving, and maintaining custom implemented models and algorithms to enable automation of Scheduling. Work closely with business and technology stakeholders to identify how decision support can deliver business value in key processes that drive superior execution of our network. Establish a data driven approach to decision support analyzing expected outcomes during the product lifecycle from idea to MVP to final product. Build frameworks to evaluate outcomes of new models, before they are introduced. Introduce robust optimization techniques in the volatile world of global supply chains. Continuously stay up-to-date on relevant technologies and use this knowledge to push the team forward. We are looking for A team player and collaborator across business and technology A person with a scientific mindset comfortable with brainstorming, idea generation and prototyping to validate theoretical hypothesis preferably on production data if available. An interest in driving business outcomes through technology A master\'s or PhD degree in engineering, mathematics, or computer science with a specialization within the field of mathematical optimization, operations research, robust (stochastic) optimization or advanced algorithms. Algorithmic software engineering skills as performance at scale is crucial. Proficiency with graph algorithms, mathematical optimization and heuristics Fluency with at least one programming language among Python, C++, or C#. Having more programming language proficiencies is a plus. Experience with machine learning, optimization under uncertainty and the business domain of shipping is an advantage As a performance-oriented company, we strive to always recruit the best person for the job - regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high performing teams.

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