2025 Winter Co-op Data Scientist

Work ArrangementHybrid:
This role is categorized as hybrid.
This means the successful candidate is expected to report to Oshawa Elevation Center 3 times per week, at minimum (or other frequency dictated by the business).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 DoAnalyze and interpret complex aftersales warranty data to identify trends, patterns, and opportunities, translating findings into actionable business insights.Develop tools, dynamic dashboards, and reports for stakeholders using advanced visualization tools, ensuring security, clarity, accessibility, and continuity of information across teams.Maintain the highest standards of data accuracy and integrity, implementing best practices for data governance and security.Work independently and collaboratively within diverse teams, demonstrating strong organizational, communication, and problem-solving skills.Develop and maintain project documentation.Support existing Databricks/PowerBI queries and dashboards.Actively support day-to-day business operations and projects as assigned.Required Skills and QualificationsEducational 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, and 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.Adaptability:
Eagerness to learn and adapt to new technologies and methodologies in a fast-paced environment; ability to work on multiple projects concurrently.Attention to Detail:
A meticulous approach to ensuring data accuracy and delivering high-quality analytical outputs.Soft Skills:
Exceptional organizational and time-management abilities; excellent communication and presentation skills; strategic thinker with a proactive approach to problem-solving.Team Collaboration:
Ability to work effectively both independently and within diverse teams; strong interpersonal skills to liaise effectively with various stakeholders.GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP.TO APPLY FOR THIS POSITION YOU MUST APPLY HERE AND APPLY THROUGH YOUR SCHOOL'S ONLINE SYSTEM AS REQUIREDNOTE:
YOU MUST BE ENROLLED IN A CO-OP OR INTERNSHIP PROGRAM AND MEET THE PROGRAM'S ELIGIBILITY REQUIREMENTS.
ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.Accommodation is available for applicants with disabilities.
Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.For more information about GM Canada, visit our website at gm.ca/careersGeneral Motors of Canada values diversity and is an equal opportunity employer.
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