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Senior Software Engineer in Data Science – search Team up with data scientists and continually reinvent Search

Bachelor / Master
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How do you make our customers happy? is transforming retail to simplify daily life for 12 million customers. Not on our lonesome, but together with 39,000 partners that do business on our retail tech platform. Together, we now offer 33 million products. Due to the sheer number of products, it’s challenging to wow customers with relevant product suggestions. Our Search algorithms need to be as Agile as our engineers. And our engineers need to have a working understanding of the data science that accelerates Search agility. Do you fit that bill?

The biggest challenge

Team 2Q supplies the code behind our search suggestions and continually tests if the suggestions we offer are indeed what users need in their browsing or shopping experience. Current projects include a spellchecker and a model to interpret search queries better. That may sound basic, but you’ll have to draw on your experience in a data science environment to be successful in this role. After all, our work revolves around leveraging data science to provide relevant search suggestions…

Your responsibilities as Senior Software Engineer in Data Science - Search

The daily work in team 2Q is quite diverse. We strive to continuously learn, and to improve our solutions on an ongoing basis. You are responsible for the implementation and operation of the services that host our search suggestions. That requires you to be comfortable with the data science aspects of our work. You also have to take joy in interpreting A/B tests, because our team performs extensive A/B testing before we release any change to production.

Our stack currently includes Java (Spring Boot, Apache Beam), Python, Docker, and GCP (Kubernetes, SQL/BigQuery, Dataflow). This is all tooling you either need to be intimately familiar with already or want to get up close and personal with. As for the setting: 2Q consists of two data scientists, one senior backend engineer, a business analyst and a product owner. The engineers and data scientists work together daily, so as an engineer, you need to grasp the data scientists’ goals and challenges and support them in those.

3 reasons why this is(n’t) for you

  • Yes, if you are a communicative team player with a good sense of humor – you’ll need it to survive working with those über-serious data scientists (just kidding, guys!)
  • Yes, if you are versed in Java (knowledge of Python is a plus), Docker & Kubernetes (Google cloud platform) and SQL/BigQuery: we read/write/analyze a lot of data
  • Yes, if you believe in multidisciplinary teams where engineers can review data scientists’ work. And the other way around.
  • No, if you are not even remotely interested in search suggestions
  • No, if you think Data Science (and data scientists) originated on Mars and should have stayed there
  • No, if you don’t look forward to working in a diverse international and multidisciplinary team where ownership and autonomy are actively encouraged

Where you’ll work

At the premier online retail tech platform in the Netherlands and Belgium. A platform where 12 million Dutch and Belgian customers can choose from over 33 million articles. A platform that helps 39,000 commercial partners run their businesses. 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 over 2,300 colleagues. And hopefully together with you. Let’s change retail together to make everyday life easier.


What you get

What you get

  • 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!
  • 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.

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 Will you team up with data scientists and continually reinvent Search?

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