\u201c Digital to and from core \u201d is the DNA of ColruytGroup. We have been pioneering in adapting IT
technologies from the advent of IT revolution. DigitalTransformation is the core element to realize Colruyt Group\u2019s Strategic Plan.
As part of the Data Science team in Colruyt, youwill have an opportunity to work with culturally diversified group ofindividuals, ensure business take strategic decisions by providing right datainsights.
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 have 12+ years of working experience in Data-related projects.
At least 7+ 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 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.
Proficiency in Python is expected to perform Data Science activities.
Strong analytical and problem-solving skills .
Ability to work in a team-oriented, collaborative environment .
Excellent communication and interpersonal skills
Experiencein text mining, NLP, understanding of image processing.
Bachelor\u2019s or master\u2019s degree in a relevant field such as Statistics, AI / ML / NLP is an added value.