The product: A containerized data science environment

Our ambition is to create a platform that gives data scientists a flexible, consistent, and simple environment based on Docker containers, where their code can be written in a large variety of languages (Python, R, Go, Scala). This tool then turns their code into stateless functions that can be easily deployed into powerful data pipelines.

The stack

Kubernetes, OpenFaas, Docker

The challenge

Your profile

About us

Who we are

How we work

Sound like the kind of atmosphere you would work well in? We’re looking forward to receiving your application! We see the interview process as a mutual opportunity to get to know each other — at eye level. That’s why we always strive to respond within hours, not weeks.