Analyzing the Needs of the Automotive Job Market in Morocco

Lately, Morocco is on the road to become the hub of the automotive industry in Africa. By the encouragement of the Moroccan Government, foreign investments such as Renault Group expand their manufacturing industry in Morocco. This sector continues to grow with the new factory of PSA Peugeot Citroen...

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Bibliographic Details
Main Authors: Makdoun, Ibtissam, Mezzour, Ghita, Carley, Kathleen M., Kassou, Ismail
Format: Conference Proceeding
Language:English
Subjects:
Automotive engineering
automotive sector
Data mining
Forestry
Industries
Investment
job market analysis
Naive Bayes
Portals
random forest
Remuneration
skill extraction
text mining
value estimation
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Summary:Lately, Morocco is on the road to become the hub of the automotive industry in Africa. By the encouragement of the Moroccan Government, foreign investments such as Renault Group expand their manufacturing industry in Morocco. This sector continues to grow with the new factory of PSA Peugeot Citroen Group. In fact, such new investments promise to create new jobs opportunities, however with the lack of a study that analyses this sector, the needs of the automotive job market are still ambiguous. In this paper, we collect job ads from 22 Moroccan job portals from January 2017 until January 2018. We use several machine learning and data analysis techniques to extract and mine the needs of the automotive industry. We also use Random Forest algorithm to predict the salary from job offers using the requirements of job ads. Findings of this paper show that the automotive sector hires graduates not only in the manufacturing area but also in the service and trade area. For the most demanded occupations, we find Technician, Operator and Machinist. We also find that the most required skills in this industry are: mechanics and logistics. The embedded programming languages required in the manufacturing area are Matlab and Assembly and for design software Catia and Solidworks. Findings of this paper will be beneficial for educational institutions to update and add new branches to fulfil the demand of this sector. Moreover, it will help boost the student's motivation with the salary prediction system.
ISSN:2473-9464
DOI:10.1109/ICCSE.2018.8468854