• Location Groenlo
  • Business unit Livestock Management
Are you really drawn to complex data challenges? Do you like looking for patterns in data? Is data science more than a tool to you but a passion? Then we have the opportunity to apply your machine learning knowledge as a Data Scientist!

As a Data Scientist, you and your team are responsible for finding valuable insights. You will dive into the enormous amount of data that our wireless sensors, SmartTags, collect 24/7 worldwide and you will convert this data into relevant information for dairy farmers. You know how to solve the different needs and issues by using Data Science and Machine Learning. Ultimately, you bring the trained models and solutions into production and help integrate them into our products and software solutions. You will contribute to the professional growth of the Data-Science team and help your teammates get a step further with your insight into State-Of-The-Art algorithms and solutions.

Your team

You will be working in the Smart Tag development team of Livestock Management. Where we work with raw sensor data from dairy cattle. The unpredictable behavior of dairy cattle gives a nice and varied challenge. Working with animals is different every day. Besides working closely with your direct data-science colleagues, you work in a multidisciplinary team including hardware engineers, (embedded) software developers and test engineers.

Our offer

Of course, we offer excellent primary and secondary conditions. For example, you are responsible for your own working hours and vacations. No one keeps track of this; we rely on your own responsibility in this regard. In addition, we offer you the means to fulfill your responsibilities. Financially, things are also well organized here. In addition to your salary and vacation pay, Nedap has a 13th month, a profit distribution and the possibility of shares. We also have a very attractive pension scheme. But above all, we invest in your development! Nedap has no pots for your development. In addition to our extensive induction program and personal development program, we are happy to look at your potential with you.

Required experience and skills

You have good communication skills and enjoy interacting with your colleagues. You enjoy getting colleagues on board and enthusing them. This means that you are proactive and persuasive.

In addition, you bring the following with you:
  • You have a completed HBO/WO education, preferably with many Data Science interfaces (e.g. Artificial Intelligence and Computer Science);
  • You have experience in a similar role as a Data Scientist or a very solid Data Science education;
  • Machine Learning, Artificial Intelligence and Neural Networks are not just keywords for you, but you can actually apply the techniques to arrive at new solutions for our customers;
  • It is an advantage if you have experience with software development and timeseries data.

Nedap Livestock Management

About Nedap Livestock Management

At Nedap Livestock Management we help professional dairy and pig producers around the globe run a profitable, sustainable and enjoyable business. The solutions we create enable them to automate everyday tasks and make informed decisions based on individual animal identification and data. This way we empower livestock producers to respond to the growing global demand for animal protein in a way that is both profitable and aligned with rising standards for animal welfare, sustainability, transparency and the safety and quality of food.

Visit website

Application procedure

Make real impact as a Data Scientist? Send your CV and motivation via the application button to Marten Adolfsen. Do you still have questions about the vacancy or the procedure? Feel free to email me at marten.adolfsen@nedap.com . As part of the application procedure we may ask for a Certificate of Good Conduct (VOG).

  • 1 . Your application
  • 2 . First interview
  • 3 . Next meet & greet
  • 4 . Offer
  • 5 . High five!
Step 1
Your application

You’ve applied? Awesome! We will reply to your application as fast as possible, but at least within 10 workdays via e-mail.

We respect your privacy, therefore you can only apply via our website. Applications via e-mail will not be accepted.

Questions? Get in touch with our recruiter