Full Stack Data Scientist

To execute our growing number of projects and accelerate our the development of our internal software product development (Foresight), we are looking for a Full Stack (Data Scientist) Developer.

In this role you will be responsible for the development of our internal product on smart grid optimization, weather and AI and (depending on the agenda) you will be involved in the execution of machine learning projects.

Do you have experience in Vue.js?, Do you have experience and/or interest solving problems using machine learning technology? But do you also like to develop frontend and backend applications?, * You have knowledge and experience in the various aspects of running Machine Learning projects (exploration, model training, putting projects into production)

• You have knowledge of both back- and front-end development
• Technologies (libraries) that are relevant include: FastAPI, PyTorch, Vue.js, Next.js, Dask, Xarray, Scikit-Learn, OR-Tools, ..
• Technologies (methodologies) that are relevant include: Transfer Learning, Transformers, Constraint Optimization, Computer Vision, Clustering, ..
• You have a can-do mentality and love making a difference
• You have high ethical standards
• You have excellent communication skills
• You are able to work independently but are also a true team player. You don't mind to help out on occasion with marketing tasks.
• Understanding of physics-based predictive modelling is a plus
• Affinity with the energy transition, electrical engineering and renewable energy is considered a great advantage

• A competitive salary with fringe benefits
• Ample opportunity to grow and learn
• You will join a young and flexible environment with a no-nonsense mentality

Interested?

At PropheSea, we excel at creating value by developing custom predictive software. Our solutions help optimize and automate business processes by using state-of-the-art machine learning technology, or by solving physics-based equations. We guide our clients from proof of concept to production and are not satisfied until our software solution delivers significant value when used in production.