FAQs
What is the role of a Data Scientist Student at Magna?
The role involves performing data analysis, creating machine learning pipelines, participating in software development, and testing and evaluating developed solutions related to computer vision and machine learning technologies.
What qualifications are required for this position?
Candidates should be graduate students in mechanical engineering, electrical engineering, computer engineering/science, or a related discipline. Strong programming experience in Python and C++ is required.
Is experience in deep learning frameworks necessary?
Familiarity with deep learning frameworks such as TensorFlow or PyTorch is preferred, but not strictly required for the position.
What types of tasks will the student work on during this role?
The student will focus on tasks related to data analysis, defect detection, 3D reconstruction, quality assurance, and process optimization in industrial applications.
Are there opportunities for professional development?
Yes, Magna invests in its employees and offers a range of development prospects to help them succeed and grow in their careers.
Will I need to work out of an office?
The work environment may involve normal office conditions, but there may also be exposure to the automotive manufacturing environment.
Do I need to have previous experience in software development?
Experience with the software development process is preferred but not mandatory.
What skills are critical for success in this position?
Strong technical and analytical skills, creative problem-solving abilities, and proficient communication skills (both written and verbal) are critical for success.
How important is familiarity with computer vision tasks for this role?
Experience with computer vision tasks such as image classification, object detection, or semantic segmentation is considered a plus but not a strict requirement.
Is there an emphasis on diversity in hiring at Magna?
Yes, Magna is committed to building a diverse workforce and is proud to be an equal opportunity employer.
What is the expected work arrangement for this position?
The position is available for students or co-op participants, and will typically follow a hybrid work model.