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As part of a dynamic, high-level team, you will work jointly on R&D and customer projects, focusing on data valuation, design and implementation of data science methods.
Job Responsibility:
Extract, structure and explore raw data sets
Implement visualisation techniques
Apply consolidation methods
Determine and build the learning environment
Implement and test a wide range of modelling solutions
Participate in the industrialisation of artificial intelligence models
Requirements:
Engineering degree, master's degree and/or PhD with a specialisation in applied statistics
First experience of at least 3 years in the design, implementation and deployment of advanced artificial intelligence methods
Advanced level of knowledge in at least one of the following fields: Time series modelling and forecasting, Machine Learning/Deep Learning techniques, Automatic Language Processing (NLP)
Experienced developer in Python and/or R
Understanding of business context
Autonomous, rigorous and a strong team player
Nice to have:
Experience in Energy, Transport, Mobility, Health sectors
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