Data Scientist : Artificial Intelligence‎, Machine learning, Deep Learning – Ariana

Description de l’annonce:

Our IT Department – Group Information Systems (GIS) is looking for a Data Scientist for our Digital Services Factory in Tunis, Tunisia.

Main duties and responsibilities

The Data Scientist will be integrated in the team and will be involved in projects ranging from automated quality inspection, to manufacturing process optimization to intelligent systems development integrated in our products. 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. Programming skills are also important as we need to deliver production ready software, so proficiency in at least one programming language is expected.

Soft skills are also important as she/he will have to interact and collaborate with internal experts to identify new projects and present their results to both technical and non-technical audience.

It is expected that she/he recognizes itself in the following core values of the DSF:

• Entrepreneurship: Capacity and willingness to understand the needs of the end-user and develop accordingly the product
• Autonomy: Capacity to search for required solutions, for example by asking the right questions to the right persons. This might also imply to explore new areas unknown to the team at the moment.
• Accountability: Being responsible of its own development and product. Feeling a sense of ownership and proudness in the work done.
• Directness: The work environment in Faurecia and particularly around the DSF is fast paced. It is crucial to be able to deliver quick and efficient feedback as soon as possible.
• Deliver: Being focused on the delivery of a product to the end-user.

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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