Data Scientist
View: 140
Update day: 16-11-2025
Location: Leuven Flemish Brabant
Category: High Technology IT - Software
Industry: Telecommunications Manufacturing Business consulting Services
Position: Associate
Job type: Full-time
Job content
The job of (SR) Data Scientist consists mainly of setting up the appropriate models and processes to run our Revenue Management products, and to answer ad-hoc questions from clients & our consultants in the context of Revenue Management / Marketing & Sales Modelling.
Some examples of modelling are:
1) Statistical / econometric / marketing modelling:
- Modelling on market sales data / predominantly FMCG (fast moving consumer goods industry), electronics, telco, et. Both Brick & Mortar sales data, and online sales data (e.g. Amazon).
- Predictive and prescriptive modelling / baseline regression models / baseline forecasting models / price elasticity models
- Driver analysis: baseline decomposition models / uplift decomposition models
2) Product & process design in the context of:
- Promotional effectiveness
- Price elasticity and price pack architecture
- Marketing mix modelling
- Sell-in & sell-out prediction models
- Etc.
As part of the job, the (SR) Data Scientist will also contribute towards:
- The data architecture (of large and small datasets),
- Data processing solutions,
- Data mining solutions
The function of (SR) Data Scientist is predominantly an internal function that works in close collaboration with other Data Scientists within the team (for sharing & learning relevant know-how), other Data Experts on the project side, as well as Business Analysts and Consultants.
Therefore, Project management & collaboration skills, both in terms of recurrent projects and development projects, are a strong plus for junior levels, and required for senior levels.
Your profile:
1) Technical skills:
- High proficiency in programming in R. Knowledge of SQL or other programming languages is a plus.
- High proficiency in statistical methods, including classic regression models (parametric, non-parametric, linear, non-linear), and machine learning (plus point).
- Knowledge of dataset architectures / process architectures (plus point).
2) Certifications - Education - Experience:
- Advanced courses in statistics / econometrics / marketing modelling / other studies with focus on statistics (e.g., as part of an advanced Masters or PHD degree).
- 4+ Years of Business experience in Research experience (PHD).
- Any external technical certifications are a plus, e.g., programming language trainings etc.
3) Language skills:
- English at working level proficiency.
- Other languages are a plus.
What we can offer you:
We can offer you a fantastic experience:
- You will have a challenging range of tasks in a dynamic and young company with a fast growing team.
- You can further develop your skills on-the-job.
- You will be coached by a Senior Data Scientist with a broad experience.
- Full time contract within a very flexible working environment, with a competitive salary in line with the market and the possibility to grow in the organization.
Deadline: 31-12-2025
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