About the role
“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 Group’s 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 environment.
- 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 have12+ yearsof working experience in Data-relatedprojects.
- At least8+years ofrelevantexperienceas a Data Scientist.
- In-depth knowledgeof statistical methods fordataanalysis,interpretation,and application of these techniques tosolve abusinessproblem.
- ExperienceinMachine learning/NLP/ AI,Data Visualization, Data processing
- Experiencein applyingavarietyofanalytical algorithms, including but not limited to
linear and logistic regression, Bayesian analysis, decision trees, random forest, boosting techniques, forecasting, time series, clustering, neuralnetworks,and others.
- Experiencein EDA, text mining, and understanding of image processing.
- ExperienceinStatistics, StatisticalAnalysis, StrategicPlanning, Quality Control,SQL.
- ProficiencyinPythonis expected to perform Data Science activities.
- Strong analyticalandproblem-solving skills.
- Ability to work in a team-oriented,collaborative environment.
- Excellent communicationand interpersonal skills
- Bachelor's or master'sdegree in a relevant field such asStatistics, AI / ML / NLP is an added value.