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Data Scientist Student

  • Internship
    Full-time
    Summer Internship
  • Data
    Engineering
  • Toronto

AI generated summary

  • You should be a graduate student in engineering or related fields, proficient in Python and C++, knowledgeable in DL frameworks, and have skills in computer vision and software development.
  • You will analyze data, create machine learning pipelines in the cloud, develop software solutions, and test/evaluate those solutions based on supervisor requests.

Requirements

  • Graduate student (Ph.D. preferred) of mechanical engineering, electrical engineering, or computer engineering/science, or equivalent engineering, math or science discipline.
  • Strong Python and C++ programming experience is required.
  • Familiarity with Deep Learning (TensorFlow or PyTorch) and Cloud Platforms preferred.
  • Experience with software development process preferred.
  • Experience in computer vision tasks like image classification, object detection, or semantic segmentation, 3D reconstruction is a plus.
  • Currently attending University, preferably a graduate student.
  • Strong technical and analytical skills.
  • Ability to work on complex engineering systems with creative ways.
  • Proficient in Microsoft Office Products (Excel, Word, Power Point).
  • Professional Communication skills (written and verbal).
  • Normal amount of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer.
  • The candidate may be exposed to the automotive manufacturing environment.

Responsibilities

  • Perform and present data analysis results based on requests of supervisors.
  • Create data/machine learning pipeline in one of the popular cloud platforms.
  • Participate in development and improvement of a software solution.
  • Test and evaluate the developed solutions.

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.

Forward. For All.

Manufacturing & Electronics
Industry
10,001+
Employees
1957
Founded Year

Mission & Purpose

We see a future where everyone can live and move without limitations. That’s why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people. Forward. For all.