Jobs Available job

Senior Data Scientist Discoverer of customer friendly algorithms

Go straight to:

How do you make our customers happy?

By designing algorithms that make the customer journey perceptibly better. Because that’s what our Data Science & Advanced Analytics team does every day; leverage our data to enhance the customer experience. For example by utilizing machine learning to predict customer preferences, personalize the shopping experience, detect fraud and add information to millions of products. Can you unlock more of the vast potential of data science for our customers?

Your responsibilities to discover customer friendly algorithms

As Data Scientist, you use machine learning to generate automatic insight for our customers and We don’t conduct academic research, every project is motivated by our drive to enhance customer value. And we don’t believe in failed projects. If data shows an innovation doesn’t contribute to reaching our goals, that’s still a valuable lesson. The work field covers the entire organization, and for 2019 we have stated five key domains: Search & Content, Assortment, Forecast, Pricing, and Personalization & Recommendations. Whichever domain you zoom in on, you’ll be leveraging terabytes of data to make a more intelligent, efficient and scalable organization. You’ll design your algorithms in a cross-functional project team (data scientists, developers, designers and product owners) to have them deployed as services in our IT landscape. You’ll also be the ambassador for your domain by presenting the complex theory to colleagues from a practical perspective, while highlighting the customer value created. in numbers doesn’t drop numbers to impress, but the depth and breadth of our field is inspiring. This is simply the result of

  • Providing over 16 million products
  • To over 8.5 million customers, who
  • Can place 17 orders per second, sustained (Black Friday, 2017).

Whichever domain you focus on, you’ll investigate how we can use our terabytes of data to become more intelligent, efficient and scalable.

3 reasons why this is(n’t) for you

  • Because you want to apply your Master’s degree in Computer Science, Applied Mathematics, Artificial Intelligence or Econometrics to make the lives of over 8.5 million customers easier and more fun
  • Because you’re at home in large data sets and a pro in queries and preprocesses
  • Because your heart beats faster for Python or R and frameworks like Tensorflow, Keras, Sklearn + NumPy
  • Because you’re a 100% academic researcher who considers practical applications inconsequential
  • Because you have no affinity with software engineering
  • Because discussing ideas with direct colleagues would be a waste of time; don’t you already know everything?

Where you’ll work

As Data Scientist you’ll be at the center of our data intensive landscape. Our business model is focused on technology, and data-driven improvements that drive innovation for our customers are our bread and butter. Retail & Data is a unique team of data professionals within this landscape, both in terms of its size and expertise – features that make it a fantastic place to develop. The cross-functional teams, with ample representation from the business units, also give you a complete picture of the organization. Professional success in data science requires more than any university can teach you, and is the perfect place to learn the rest. The setting is informal, pragmatic and innovative. Our success is based on collaborating as equals and continuously learning from each other. You can achieve great things alone. Even better things together.

What you get

What you get

  • Attention to you

    We are continuously focused on innovation and getting better every day. Because we work in a dynamic environment and our organization is growing rapidly, your development will grow together with
  • 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.
  • Extra Service

    Besides legal conditions, we also have interesting extra's for you. For example relocation allowance, support with your relocation, free parking and staff discount on all articles.

How it works

  1. Your application
    Carefully, we take a look at your application. Within 2 weeks you know if we invite you to come over to our office.
  2. First contact
    We call you to find out more about you and your expectations about the job and working at If it fits our expectations and it is a match made in heaven we’ll invite you to an entire day at our office.
  3. Preparations
    Before your interview day we will ask you to take an online assessment and to prepare a Data Science case.
  4. Meeting face to face
    During your interview day we’ll discuss your assessment and the case you prepared. Following you’ll lunch with some bol.commers of the team. At last there will be a final interview.
  5. Is this love?
    At the end of the day we will contact you. Is there is a match, your offer will be in your inbox at the end of the day. And if you agree, it will be the beautiful beginning of your career at😊

Any questions? Contact

Apply right away Are you the discoverer of customer friendly algorithms?

CV/ resume (Word or PDF only, max. 10 MB))
Cover letter (Word or PDF only, max. 10 MB))