Data Scientist

Function: Data Scientist
Experience: Medior, Senior
Education: University (Applied Science)
Hours: 40
Location: Eindhoven

Do you want to stretch boundaries by maximizing the (customer) value of data? For example, when you use machine learning or deep learning to understand people’s preferences or personalize their shopping experience? At we develop new, innovative solutions for our customers. A diverse set of challenges greets you, covering e.g. anomaly detection, product recommenders and visual search and find. In our standard stack you will find Python, Keras, Tensorflow 2.0, PyTorch, Scikit.learn on your own Linux machine with GPU and cloud accounts when appropriate.

About your job and the team

As a Data Scientist at you take responsibility of the ML side of our applications and AI systems. Thanks to your knowledge of data (logistics) you can easily translate business cases of our clients into usable, actionable data sets, suitable technical architectures, statistical models and algorithms. You also consider system scalability and the technical roadmap in projects. Of course you are not alone. We work in small teams in which all required specialisms are represented: i.e. Artificial Intelligence engineering, cloud deployment, UX design, mobile and project management. As a data scientist (vs. machine learning engineer) you typically focus more on getting the right model to talk in the right way.



Job Responsibilities

•   The core business of the AI team at is developing or improving machine and deep learning solutions. You will work on this on a daily basis; In contrast with our AI Engineers you will focus more on the model itself (vs. deployment, packaging and data pipelining);

•   We use state-of-the-art technology. We carefully follow developments in the field of neural networks. We often also use Machine Learning algorithms (e.g. XGBoost), but if Regex or Elastic Search gets it done, we use it;

•   In addition to the solutions and applications that we develop for our customers, we also work on experiments, mini-demos and proof-of-concepts. Examples include checking out hybrid neural network architectures (fixed / mobile, combining Word2Vec with visual information in a CNN), federated machine learning or a new version of Pix2Pix straight out of NVIDIA’s labs;

•   As an experienced Data Scientist you also provide coaching for less experienced people in the team and you follow up new papers, industry frameworks etc. for practical applicability.


Next to a salary, at it speaks for itself that you enjoy the following perks:

•   Flexibele working hours. Starting between 08.00 and 9.30;

•   Work with global clients to make an impact;

•   Generous compensation for health insurance and contribution to your retirement plan;

•   10% of your working time invested in your own development. Think certification, education, and attending conferences;

•   Free lunch, unlimited fruits and Friday drinks.



We develop and integrate cutting edge A.I. solutions and engaging experiences for lifestyle brands, e-commerce and retail. With 25+ specialists in 3D visualisation, interaction design, business strategy, data science, machine and deep learning, we help our clients to become digital frontrunners. We accelerate digital business innovation!

At, you will work in a professional scale-up with ambitions to grow! In an international working environment, we take a hands-on, pragmatic approach to creating business relevant solutions. Feel free to take a look at our portfolio to get an impression of the projects we do. Our scale-up dynamic comes with a wide range of tasks and responsibilities. That makes a job at varied and offers plenty of opportunities for personal growth, together with the company!


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Does our Data Scientist vacancy at appeal to you?

Introduce yourself to us by applying now. We will respond to your application within five working days. Do you have any questions about this vacancy before you want to apply? Call or Whatsapp Denise on +31 (0)6 1874 5286 or send an email to She will be happy to help you!

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