Senior Decision Scientist

Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger

København K

Opportunity


A decision scientist is a software engineer with a specialisation within Mathematical modelling (and maybe machine learning) and advanced algorithmsOpportunity

Join the world’s largest container shipping company and help us power our planning and execution through cutting-edge technology in data and decision science. You will be joining an IT organization consisting of more than 3000 dedicated individuals great prospects for a global career. As a decision scientist you will be a key driver in designing and building decision support tools that will enable us to serve our customers in the best possible way.

We offer

You will be part of the Service Delivery Platform focused on streamlining, optimizing, and automating our network and container operations via advanced software solutions.

You will be joining a dedicated decision science team, where we design, build and maintain mathematical models and solution algorithms to support the business.
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 suggested network design, managing network capacity inventory, rerouting of cargo during contingencies and handling uncertainty in planning for robust networks.

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 Service Delivery 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 support planning and execution of our global network of container vessels and container equipment.
  • 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.


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 3.8.2022, 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

Lignende jobs

Statistik over udbudte jobs som forskere i København K

Herunder ser du udviklingen i udbudte forsker i København K over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal forskere.

Se flere statistikker her:
Statistik over udbudte forskere i København K over tid

Dato Alle jobs som forskere
25. december 2024 0
24. december 2024 0
23. december 2024 0
22. december 2024 0
21. december 2024 0
20. december 2024 0
19. december 2024 0
18. december 2024 0
17. december 2024 0
16. december 2024 0
15. december 2024 0
14. december 2024 0
13. december 2024 0
12. december 2024 0
11. december 2024 0
10. december 2024 0
9. december 2024 0
8. december 2024 0
7. december 2024 0
6. december 2024 0
5. december 2024 0
4. december 2024 0
3. december 2024 0
2. december 2024 0
1. december 2024 0
30. november 2024 0
29. november 2024 0
28. november 2024 0
27. november 2024 0
26. november 2024 0
25. november 2024 0