Senior Research Scientist, Landside Network Design

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København K

Opportunity


Maersk is achieving an unprecedented transformation in the growth of our businesses and rethinking the way we engage with customers and partners. From the farm to your refrigerator, or the factory to your wardrobe, we are developing solutions that meet customer needs from one end of the supply chain to the other. Digitization and IT are taking centre stage in enabling our customers to trade globally and we are building our core products in-house.

Join the world’s largest container shipping company, to help us re-think what technology can do and build the next-generation products. As a Research Scientist at Maersk, you will be a key driver in building high-quality data products and analytical assets, to enable Maersk to optimize operational performance & decision making and providing a better experience to our customers.

We offer - This is what you get


You will be part of Global Network Planning team for the Landside Transportation, responsible for establishing the network design capabilities for the inland intermodal transportation network. As a Research Scientist in Network Planning team, you will have a leading role in designing, building, maintaining, and iterating on network design products.

This position offers a unique opportunity to develop and apply your deep knowledge of data science methods, software, and data engineering to create results and insights that are transforming the transport and logistics industry.

This is an exciting time to join a growing and dynamic team that solves some of the toughest problems in the industry and builds the future of trade & logistics. We offer a unique opportunity to impact global trade via the largest container shipping company in the world. We focus on our people and the right candidate will have broad possibilities to further develop competencies in an environment characterized by change and continuous progress.

Key responsibilities


  • Drive the research science efforts for gathering network planning requirement, identifying the data needs, designing the right models, and measuring the success of any experiments

  • Design and develop efficient research prototypes that solves network design problems of the inland intermodal transportation at Maersk

  • Work with relevant stakeholders to understand the business processes behind the data and incorporate their needs into any prototypes or experiments to enhance the potential value

  • Collaborate and communicate research prototype models’ rationale & results with leadership and business stake stakeholders

  • Work with the Products team to roll out network planning models

  • Analyse data and work with data analytics to drive the value of any proposed solution

  • Evaluate, and continuously improve optimization models to improve the effectiveness of the objective function


To do this job, we imagine you have:


  • 3+ years of industry experience in building data science models and products, ideally for a product/industrial company

  • PhD or M.Sc. in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science, or other field related to algorithms and data (or equivalent experience)

  • Research or industry experience in one or more: Combinatorial optimization problems (e.g., scheduling, vehicle routing, facility location), Continuous optimization problems (e.g., linear programming, convex programming, non-convex programming), Predictive analytics (e.g., forecasting, time-series, neural networks), Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning)

  • Excellent record of delivery using languages like Python, R, Java and technologies like Hadoop, Git/SVN, JIRA etc

  • Experience in rapid prototyping and experimentation to test ideas quickly

  • Ability to work independently with stakeholders while liaising and reviewing with the team



Information og data

Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".

Arbejdsstedet er beliggende i København K.

Jobbet er oprettet på vores service den 27.4.2023, men kan have været deaktiveret og genaktiveret igen.

Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
  • Forsker
  • København K

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