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We are looking for data scientists that feel at home at the intersection between science, mathematics, machine learning, business and computer science. You may come from a science background or have experience in a environment driven by scientific methodology. You also know their math and statistics and know how to apply this to actual problems.

You have dabbled with machine learning, NLP, or optimization modeling. You know how to create visualisations in order to tell a story (and why you should avoid pie charts!). And very importantly, since we believe in developing actual products for our customers instead of just providing them with algorithms or models, our data scientists also enjoy writing programs that run on servers and talk to databases.

As a data scientist you are capable of rapidly learning about the domain of our customers, while taking up the challenge of making sense of their operational and otherwise collected data. You communicate well and are capable of explaining what you do to customers in understandable terms. You are the kind of person that can explain in layman terms why we call a naïve Bayes classifier naïve.

When it comes to data analysis you do not expect data to be clean, concise, well organized, well documented, consistent or complete. You make do with what you get and don’t make assumptions. You understand the strengths and weaknesses of different models and can effectively reason about when to apply various combinations. You’re not a one trick pony.

The Data Scientist role is a senior postion with a pivot role in our clients teams, therefore at least 2 years of relevant professional experience is required. We like to be amazed, though, so if you have done something outstanding during your studies, like contributing to open source projects or starting your own company, we encourage you to apply.

Also, since most of our customers operate in the Netherlands, a working knowledge of Dutch is a requirement.

Prefered general knowledge includes:

  • Mathematics
  • Statistics
  • Machine Learning
  • NLP
  • Optimization modelling
  • Data Visualisation
  • Algorithms
  • Data structures

Preferred skills / tool experience includes:

  • Analysis tools: Python + Pandas / R / Julia / Matlab
  • Using relational databases
  • Working with Linux, including writing Bash scripts
  • bonus: Software engineering practices
  • bonus: Hadoop / Hive / Spark / MapReduce
  • bonus: NoSQL databases
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