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Data Scientist Logistics Logistic algorithm gymnast

Bachelor / Master
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How do you make our customers happy? is changing retail to make daily life simpler for 11 million Dutch and Belgian customers. We are joined on this mission by 39,000 partner sellers that do business on our retail tech platform. This represents a combined assortment of approximately 30 million articles and peak sales of 700 orders per minute (Black Friday 2020). All of these articles need to be shipped quickly and (cost) efficiently. In this role, you make an impactful contribution to that goal by developing clever algorithms that enable us to use our logistical resources in the best way possible. Making sure that every parcel arrives on time.

The biggest challenge

We need to safeguard that our retail organization and 39k sales partners deliver on our ambitious logistics promises. Given our double-digit growth in order volume and the increasing complexity of the logistics landscape – e.g. we offer logistics as a service, and we have to coordinate between a rapidly expanding collection of warehouses – having algorithms run the show is the logical next step. How can we fully utilize logistical resources cost-efficiently? How can we ensure stock is at the right location? And how can we fulfill wildly varying customer orders in the best possible way?

Your responsibilities as Data Scientist Logistics

  • Leverage logistical insights to develop optimization and simulation models
  • Tweak and improve those models on a challenge-by-challenge basis
  • Strike the right balance between ‘battling complexity’ and achieving concrete results
  • Team up with engineers to build and implement new or improved solutions
  • Ensure solutions are robust and responsive

In this position you join a forward-thinking, multi-disciplinary team of data scientists, software engineers and business analysts and help them develop an in-depth understanding of intricate logistical processes. This includes identifying (potential) bottlenecks. Translate your findings into data-driven optimization and simulation models. And continuously adjust and improve the models as new challenges arise.

The fluid nature of – change is the only constant – and the extremely data-rich environment make for an interesting playing field. The challenges we face are both incredibly complex and, when solved, vastly rewarding. You mainly work on scalable, long-term solutions, but when (potential) issues arise you’ll need to think on your feet to quickly get to the core problems and make the appropriate decisions. Often going on limited and/or unvalidated information. By virtue of your pragmatic approach and by leveraging the deep knowledge of our algorithms, you manage to strike the right balance between battling complexity and achieving working results. You’ll build solutions from the ground up with the software engineers in your team and assume full ownership of your solutions. Keeping these solutions (and yourself) responsive during peak hours is key.

Why you can make a difference

To be successful as Data Scientist Logistics, you’ll need solid experience in optimization and simulation, as well as programming skills in Python, Java or (an)other relevant language(s). Because you’ll work closely with colleagues in different domains and with a wide variety of skill sets and backgrounds, you also need to be open to approaching issues from different perspectives. This way of working often yields the clearest insights and the best results. And as our environment is constantly changing, we expect our data scientists to be eager to learn, both by honing their existing skills and by venturing into new territory. You’ll be supported in this by a large community of data scientists across

3 reasons why this is(n’t) for you

  • Yes, if you have extensive experience in operations research, econometrics or a related field
  • Yes, if you enjoy coding and can easily communicate with engineers
  • Yes, if you prefer a fast-paced work-environment where new questions and challenges pop up daily
  • No, if you’d rather use the latest techniques to optimize for coolness, than the right tools to optimize for usefulness
  • No, if you don’t like to brainstorm, discuss ideas or work together with colleagues from other disciplines
  • No, if you think that a provided solution should always be 100% perfect

Where you’ll work

At the premier online retail tech platform in the Netherlands and Belgium. A platform where 11 million Dutch and Belgian customers can choose from over 30 million articles. A platform that helps roughly 39,000 commercial partners run their business. And a platform that will never be ‘finished’, because has been reinventing retail since 1999 and we always will be. If there’s a better way to do something, we’re working on it! Together with our customers, partners, and about 2,100 colleagues. And hopefully together with you!

What you get

What you get

  • Money and more...

    Working at is challenging and therefore you get something in return. Besides salary, you will receive a yearly bonus, holiday allowance, holiday entitlement of 29 days, travel allowance, group insurance and more.
  • A blue and safe landing

    We warmly welcome our new colleagues, so they feel home as soon as possible. During your onboarding program, we give you all the ins and outs about!

How it works

  1. Carefully, we take a look at your application. Within 2 weeks you know if we invite you for an interview.
  2. We call you to set up an interview. And since we’re already talking: feel free to ask any question you may have.
  3. In this first interview we’ll get to know each other. We want to find out more about you. Work experience is interesting, but we also want to find out more about you as a person. Together, we’ll find out if this job is a match made in heaven.
  4. Before the next interview we will ask you to take an online assessment. We’ll also discuss the position and your team in depth.
  5. 2 interviews are usually enough to see if it’s a match. And if you agree… well, it’s the beautiful beginning of your career at :)

Any questions? Contact

Apply right away Wil you be the logistic algorithm gymnast?

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