You have the capability to structure data from 30,000 active data systems, of which 90% are available in real time. Now that’s big data!
You can find correlations in unstructured data and make predictions using machine learning algorithms. You know fully well that dairy farmers want to use the data to make their company perform better. We desire to use the data to help them in this and make our robotic products smarter and smarter. You have the ability to determine how we can make an autonomous feeding robot become more sustainable by making it take more efficient routes. Or for instance predict the influence of certain types of nutrition on milk quality. You may also know how to better structure and optimize preventive maintenances. The big data of our 30,000 users holds even more secrets, ones you will decipher.
Lely has developed a management application which was built especially for dairy farmers. Using this application, in tandem with the feed and milking systems, the dairy farmer is data driven. He can keep closer watch of the cow’s health and the farm’s performance. It is your responsibility to deliver working and state-of-the-art algorithms to mine data and design applications with business value to help the dairy farmer in taking meaningful decisions.
Right now, there is a growing dedicated data department and we work together closely with Datamole, a data scientists company which is partially (30%) owned by Lely. This means you can really help to develop the department and give advice about the latest technologies and applications you would like to try. You will secretly be working at a technical playground.
You will work in the field of artificial intelligence and use neural networks methods such as deep learning, random forests and many other models. In order to make a good start, you will go to Prague for a week to transfer knowledge at Datamole and master this knowledge. After this, we will expect you to go there occasionally or them to visit you.
Additionally, you will work closely together with our technical department, for instance our product development engineers but also the technical after sales department, which knows exactly what a customer needs.
You are new to the field, yet do already have some familiarity with the techniques and systems that come with the job as a Data Scientist. As the application is built in Python and SQL, it would be very convenient if you have experience in programming with these languages.
- a Master’s degree in fields such as: Physics, Mathematics, Economics, Econometrics, Computer Science or Informatics:
- an inexhaustible urge to mine data for secrets;
- the drive to develop a department together with your colleagues;
- no distaste for cows.
You will give shape to a new function at Lely, in which you will help develop and establish the Data Science and Competency Center Data at Lely.
- One of the most innovative companies in the Netherlands;
- The possibility to apply the latest technologies on big data like machine learning or other artificial intelligence toolkits to improve our solutions;
- Flexibility in terms of working times and working location;
- The tastiest coffee you will ever drink, courtesy of our barista;
- Time for fun: table football, volleyball and a basketball court.
Lely, founded in 1948, directs all its efforts towards creating a sustainable, profitable and enjoyable future in farming. Circling the cow, the company develops premium robotics and data systems that increase animal welfare, flexibility and the production on the dairy farm. For more than 25 years, Lely has been leading in the sale and service of automated milking systems to successive generations of dairy farmers across the globe. Every day, Lely inspires her employees to offer customers innovative solutions and be a reliable partner for long-term advice and support. With her Head office in The Netherlands and a worldwide network of dedicated Lely Center locations for tailor-made sales and support, the Lely Group is active in more than 40 countries and employs around 1.200 people.
Are you enthusiastic about this career opportunity? Do you recognize yourself in this profile? Then apply quickly by sending us your CV and motivation via the link below. If you have any questions, please contact Kristel Goedegebuure, +31 6 82049996.
Agency calls are not appreciated.