Job_Description":"

Digital to and from core is the DNA of Colruyt Group. We have been pioneering in adapting IT technologies from the advent of the IT revolution. Digital Transformation is the core element to realize Colruyt Groups Strategic Plan.

As part of the Data Science team in Colruyt, you will have an opportunity to work with culturally diversified group of individuals, ensure business take strategic decisions by providing right data insights.

We are looking for an individual with Passion, Innovation, out of the box thinking to join our team.

- Build a portfolio of data opportunities for specific business partners based on your knowledge of the data and the business.

- **Support business partners in translating their needs into specific **research questions that can be addressed in a data science project.
- Apply techniques of data preparation, quality control, completeness, distribution, consistency, outliers, data, or variable transformation.
- Apply mathematical , statistical , and modeling techniques in a suitable setting.
- Use statistical analysis to support strategic decision-making .
- Support partners in the correct interpretation and application of analysis results. - Training Business partners interpret analysis results independently or translating analysis results into the right actions.




- Collaborate closely with Data Science Engineers to support the entire data pipeline process.
- Evaluate the long-term validity of the analytical solution. - Follow up on developments in the field of statistical analysis, mathematical modeling, optimization, and integrate these into practice

Requirements

- Should have **12+ years of working experience in Data-related projects.
- At least **8+ years of relevant experience as a Data Scientist.
- In-depth knowledge of statistical methods for data **analysis, interpretation , and application of these techniques to solve a business problem.
- Experience in Machine learning/ NLP/ AI, Data Visualization, Data processing
- Experience in applying a variety of **analytical algorithms , including but not limited to linear and logistic regression, Bayesian analysis, decision trees, random forest, boosting techniques, forecasting, time series, clustering, neural networks, and others.
- Experience in EDA, text mining, and understanding of image processing.****

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