Data Science Tech Lead

Easyfairs HQ, Brussels


Easyfairs has started the transition to better leverage its data to improve our decision making and our customer experience. To be able to achieve this, we are looking for a Data Science Tech Lead that aims for innovation and quality, and with a customer centric mindset. 

Working from our head office in Brussels and reporting to the Head of Data Intelligence, you – as our new Data Scientist Tech Lead - will be responsible for:

  • Creating state of the art Machine Learning algorithms and solutions.
  • Deploying these algorithms in close collaboration with our Data Engineers.
  • Assuring the technical quality of the Machine Learning algorithms.
  • Translating the business use cases and needs into technically refined and actionable tasks.



What skills or profile are we looking for?


Within the Data intelligence team, we are launching several long term initiatives focused on “Visit the future” that will bring high business impact throughout the Easyfairs group. To help us achieve these goals you should have experience or the eagerness to learn the following skills:

  • You are comfortable working on large scale projects written in R / Python.
  • Your experience with data wrangling tools (Tidyverse, Pandas) would make me blush.
  • You have experience with at least one machine learning framework in production (Sklearn, Caret, Tensorflow, H2O, ...)
  • Using git is your second nature.
  • Creating Machine Learning algorithms makes you smile.
  • Database (SQL, NoSQL) querying holds no secret for you.
  • You get a bonus point if you have experience with at least one web application framework. (Shiny, Django)
  • You can put a sparkle in the eyes of business people only using your strong data visualisation skills. (Plotly, ggplot, ...)
  • Code quality, code reviews, documentation and unit testing are close to your heart. 
  • Working in a team following Agile principles is a challenge you’re willing to accept



What’s in it for you?


You will get the opportunity to work in a fast growing multinational company that aims for innovation, experimentation and a strong eye on quality.

You will learn new skills through challenging projects and will be supported with an individual training plan tailored to your needs and interests.

As the team is growing rapidly you will have immediate impact on the way data is being used at Easyfairs.


If you want to apply, send a mail to