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Data Scientist

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Job Description - Data Scientist

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 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. 
  • Experience in Statistics, Statistical Analysis, Strategic Planning, Quality Control, SQL. 
  • 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 
  • Bachelor's or master's degree in a relevant field such as Statistics, AI / ML / NLP is an added value. 



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