We are PEAX, an AI startup in the Food & Flower industry. Our customers are innovative breeders, growers and food & flower distributors. You can find a number of our customers with accompanying cases on our website.
We are looking for a data scientist help us bringing the future to the Agrifood industry! So, are you ready to live up to this challenge and make a direct impact on the future of food? Read on!
At PEAX we help businesses in the AgriFood industry to integrate data & AI solutions into their organization.
As a data scientist you will take the lead on data-centric projects on various topics related to vertical farming, business optimization and autonomous growing. You will be actively involved in the entire project journey, from scoping to development to delivery.
Most of your time you will be working in your favorite IDE, but every now and then you will leave your notebooks for what they are to prepare for the next demo meeting or project kick-off.
You have a curious mind that likes to dive into analytical challenges. You are not afraid of taking responsibility and feel comfortable in explaining your work to the layman in the room.
Besides cracking tough challenges, you like to enjoy the time with your colleagues and exchange knowledge and experience that you have gained along the way.
But on top of all that, you are looking for a job where you can deliver some real impact. Together with the team you will be working on the frontier of our future food system.
We are looking forward to meet you! Feel free to send an email with your CV and motivation to email@example.com or click the button below. After your application, we will reply to you as soon as possible. If we think there is a match, we will invite you to our office for a personal meeting.
PEAX is located in Microlab, in the city centre of Rotterdam. As soon as you have successfully completed the application process, you will automatically become a member of the Microlab community via PEAX, so that you can enjoy the fun events and workshops that are regularly organised.