• Perform ad-hoc data analysis producing valuable insights to business stakeholders
• Explore data answering questions and finding new business opportunities
• Clean, transform, compute and verify the integrity of data used for analysis
• Work with business stakeholders to develop new KPIs that provide useful insights
• Work with the Business Intelligence team, providing them with requirements for the development of new KPIs and data pipelines
• Using a distributed computing system, develop predictive models for insight purposes
• Work with the data engineer and development teams to deploy automatic optimizers into production systems
• Select, build and optimize features using machine learning techniques
• Responsible for testing and validating the validity of new models
• Propose and promote any team work and/or process improvements.


  • University degree in Computer Science, Mathematics or related field;
  • At least 3 years of experience doing data analysis and machine learning;
  • Experience with at least one data science language like: R or Python;
  • Experience with data visualization tools like: ggplot2, Matplotlib or Plotly;
  • Experience with reproducible research tools like: RMarkdown, Jupyter Notebook or Databricks Notebooks
  • Experience with relational databases like: MySQL, PostrgreSQL or SQLServer;
  • 3+ year’s experience of Jupyter;
  • 3+ year’s experience of Mysql;
  • 4+ year’s experience of Python;
  • 4+ year’s experience of R;
  • Strong statistical analysis skills;
  • Excellent understanding of machine learning techniques and algorithms, such as Logistic Regression, k-NN, Naive Bayes, SVM, Decision Forrest and Artificial Neural Networks;
  • Experience with Spark or other distributed computing systems is a great asset;
  • Passionate about data;
  • Bilingual (Dutch/English, spoken and written), required;
  • Fluent in French, required.

Personal Attributes:

• Strong organizational, problem solving, and analytical skills are a must;
• Able to communicate complex concepts to non-technical stakeholders;
• Self-motivated individual who takes ownership and able to work with a minimal supervision;
• Creativity and ability to innovate with ideas and concepts;
• Comfortable in a fast-paced environment.