Requirements

• Master’s degree in IT or relevant discipline, combined with minimum 17 years of relevant working experience in IT;
• Experience with data analytics over big datasets, non-structured databases as well as data lakes;
• Excellent knowledge of Python;
• Excellent knowledge of machine learning techniques and algorithms, such as SVM, Neural Network, and/or artificial intelligence frameworks;
• Excellent knowledge of Data Management;
• Good knowledge of AWS and/or Azure;
• Good knowledge of Linux;
• Good knowledge of natural language processing systems lifecycle and agile software development methodologies;
• Good knowledge of NoSQL databases, such as MongoDB;
• Good knowledge of graph DB and triples;
• Good knowledge of query languages, such as SQL, Hive, Pig, etc.;
• Knowledge of data visualisation tools, such as D3.js, GGplot, etc;
• Knowledge of R and its NLP/ML libraries is a plus (e.g.: SpaCy, NLTK, scikit-learn, pandas…);
• Excellent command of the English language and good command of French would be an asset.