Co-Op/Intern Data Scientist

4 weeks ago


Oshawa, Canada General Motors of Canada Full time
p>Job Description

Work Arrangement

Hybrid: This role is categorized as hybrid. p>

About GM:

At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern or co-op student you will gain hands-on career specific experiences to maximize your real world potential.

The Role:
We are seeking a skilled Data Scientist to amplify our data analytics initiatives within the Customer Care and Aftersales organization, specifically within the Quality Team. The ideal candidate will have experience in independently handling complex business data, performing insightful reviews, and generating comprehensive visualizations and outputs that drive strategic decisions. A knack for building innovative data products is highly desirable.
This outstanding cross-functional role provides an opportunity to experience interfacing with global teams, and showcase your strong analytical, programming, visualization, and machine learning skills, to identify key trends and solutions.

What You’ll Do

  • Analyze and interpret complex aftersales warranty data to identify trends, patterns, and opportunities, translating findings into actionable business insights.
  • Maintain the highest standards of data accuracy and integrity, implementing best practices for data governance and security.
  • Develop and maintain project documentation.
  • Actively support day to day business operations and projects as assigned.

Required Skills and Qualifications

  • Educational Background: Pursuit of a Master's or Bachelor's degree (3rd, or 4th year) in the following areas: Mathematics, Data/Computer Science, Computer or Software Engineering.
  • Work Approval: Able to work full-time, 40 hours per week in Canada, for an 8-month term (2 consecutive semesters) starting Jan 2025.
  • Technical Proficiency: Strong programming skills in Python/R, and SQL; experience with data tools like Azure/Databricks/Excel, and visualization tools like Tableau or Power BI; familiarity with machine learning frameworks and statistical modeling.
  • Product Development Skills: Demonstrated ability to build and deploy data products and analytical solutions that drive business value.

    For more information about GM Canada, visit our website at www.gm.ca/careers.

    General Motors of Canada values diversity and is an equal opportunity employer.



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