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KEY EXPECTED ACHIEVEMENTS
Business understanding & Solution implementation
• The business need is understood and formalized in a descriptive datasheet or specifications
• The methods are identified through external researches and selected by their theoretical bases, advantages and drawbacks.
• The results of the analysis or the models are presented to the customers with data visualisation tools indicating the performances and the limits. The source code is delivered and explained if necessary.
Quality/Capitalization
• All stages of Machine learning project are implemented (pipeline, components, tests), respecting quality standards
• All valuable code is re-usabled by community
• Data Analysis models are monitored (technological watch) and partnerships are developed
Health of the metier
• The metier is well supported by the data scientist network with proposals for improvements to develop people, technos, processes.
Within the Mapping Factory, the senior Data scientist is responsible for : Architecturing optimized scalable data and algorithm solutions. It includes :
• Design and prototype scalable graph translation from road data to standard graph
• Innovative graph algorithms for web-based route planner, in car-navigation systems, etc.
• Design optimized shortest path solutions for a flexible performant service with low software maintenance and operation cost.
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Michelin, entreprise engagée dans la mobilité durable et reconnue pour ses actions en faveur de l'expérience employé !
Pour en savoir plus sur le Groupe :https://recrutement.michelin.fr
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