Data scientist

Sparble

The Birdhouse

Kortrijksesteenweg 1072, 9051 Gent
Full-time
Development

This is us

Sparble is a young, fast-growing SaaS start-up in Ghent, Belgium. We offer a people analytics and employee engagement platform that provides personalized action suggestions to help organizations thrive, from employees & managers to teams & HR.

Our engaged clients include BEL20 companies, mid-sized companies as well as other scale-ups. To serve them with an even better product, we are looking for a data scientist.

This is what we offer

We offer an exciting job as part of an energetic and expanding team with professional experience, on a fun location in Ghent, complete with nerf guns, a respectable gaming collection and a great atmosphere. We dare to say our company culture is quite unique, pushing your limits yet keeping it cool! We'll make sure you get your hands dirty so you can learn as much as possible. You would join us as one of our first employees and play an important role in further shaping our product.

This is who you are

  • You are a smart tech fanatic that learns quickly.
  • You are a team player with a can-do mindset.
  • You are fluent in English.
  • You can work from our HQ in Ghent on a frequent basis.

This is what you do

  • You bring our data analysis and insights algorithms to the next level.
  • You craft and develop our predictive analytics services.
  • You think and work together with the IT and Product teams to continuously improve our product.

This is your experience

  • You are an expert in Python, R or another data analysis programming language frequently used in the industry.
  • You have worked on data analysis and machine learning projects.
  • You have experience with determining the appropriate machine learning strategy.
  • You are used to working with version control systems like Git.

Interesse in deze vacature?
Stuur een mail met CV en motivatie naar:

info@sparble.io

Bonus points

  • You have built interfaces between application back-end and data analysis environments.
  • You have experience with deploying machine learning projects to a production environment.
  • You have some knowledge of PHP.
  • You have experience with Scrum.