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Data Scientist

Date: 
Country/Region:  FR
City:  Paris
Contract Type: 
Requisition ID:  7207

Data Scientist (H/F)

[CDI]

 

 
   

New trends and expectations are reshaping the automotive industry. Inspired by the exciting new challenges associated with this revolution, Faurecia anticipates the future of mobility developing cutting-edge solutions for smart life on board and sustainable mobility. If you’re willing to contribute and create value for tomorrow’s cleaner and smarter mobility, Faurecia is the place to be.

We are looking for a Data Scientist for our Digital Services Factory in Bercy, Paris.

 

Your Team

The Digital Services Factory (DSF) is a fast growing team in charge of providing AI solutions for manufacturing excellence and efficiency as well as for smart product development for the automotive industry. In order to meet the increasing expectations we are enriching our team by recruiting a Data Scientist.

 

Your missions

 

  • Be involved in projects ranging from automated quality inspection, to manufacturing process optimization to intelligent systems development integrated in our products
  • Deliver production ready software, so proficiency in at least one programming language is expected.
  • She/he will have a solid track record on applied machine learning including deep learning and reinforcement learning and will have the opportunity to learn new techniques and technologies.

 

 

Your profile

 

Qualifications:

  • Will ideally have a PhD in a quantitative field and/or a minimum of 4 years of experience in machine learning
  • Excellent understanding of traditional machine learning techniques and algorithms, such as k-NN, SVM, Random Forests etc.
  • Understanding of deep learning techniques
  • Understanding and ideally experience with Reinforcement Learning methods
  • Experience using ML, DL frameworks (such as : Scikit-learn, XGBoost, TensorFlow, Keras, MXNet, etc.)
  • Proficiency in at least one programming language (preferably python)
  • Experience with SQL and NoSQL databases
  • Excellent verbal and written skills in English

 

Optional skills would be appreciated:

  • Experience in signal and image processing
  • Experience in forecasting and time series modeling
  • Experience with computer vision libraries like OpenCV
  • Experience using cloud platforms
  • Experience with versioning control systems (git)
  • Interested in IoT and hardware adapted to ML tasks

 

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