Data Scientist

Reposted Yesterday
Aurora, ON, CAN
Hybrid
90K-110K Annually
Mid level
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Dream big. With Us. Let's create the future of mobility, together.
The Role
The Data Scientist will solve challenges in manufacturing operations using data science, machine learning, and computer vision. Responsibilities include deploying ML and AI initiatives and analyzing data to improve processes.
Summary Generated by Built In
Job descriptions may display in multiple languages based on your language selection.
What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
Job Responsibilities:
The Data Scientist will be a key member of the data analytics team. In this role, you will use your expertise to solve data related challenges in manufacturing operations. You have a strong sense of curiosity, along with an open mindset. Challenging the status quo, you continuously strive to learn and reach for new and innovative ideas. We encourage all individuals with an inventive mind who enjoy working with others to apply, we'd love to hear from you.
Your Responsibilities
  • Salary: $90,000-$110,000, annually
  • Immediate, open position
  • Support development of data analytics projects, apply data science, analytics, and computer vision to solve challenges in the manufacturing environment.
  • Execute strategy and support applications of statistical analysis, Machine Learning, Computer vision, and AI tools to improve product development, manufacturing, predictive maintenance, and business processes.
  • Support, plan, and execute the initial and wider deployment and adoption of ML and AI initiatives, PoC, and small-scale implementation.
  • Conceptualize Machine Learning problems, apply appropriate theory, explore approaches, execute simulations, and implement with minimal supervision.
  • Leverage internal and external expertise as required.
  • Regularly interface with senior management to provide project updates.
  • Occasionally responsible to hire, lead, supervise, and evaluate indirect hires, such as summer students.

Who we are looking for
  • Experience with a broad range of machine learning and AI techniques, including computer vision and deep learning (e.g., TensorFlow)
  • Strong proficiency in Python for statistical analysis, machine learning, and data-driven solution development; working knowledge of C++
  • Experience with data management and processing using PySpark and SQL
  • Familiarity with cloud platforms and tools such as Microsoft Azure, AWS, and Databricks
  • Experience working in agile environments, including tools such as JIRA and Confluence, and DevOps practices (Git, Docker, CI/CD)
  • Self-motivated, curious, and collaborative, with a willingness to learn, ask questions, and build strong cross-functional relationships

Please Note
  • Accommodations for disabilities in relation to the job selection process are available upon request.
  • Candidates will be required to complete a Criminal Records Check, and if deemed necessary, a Credit Check as part of the candidate selection process.

What we offer
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
In addition, we offer you the following site benefits:
  • Hybrid work policy
  • Wellness programs and events
  • On-site cafeteria
  • Parking for electric vehicles
  • Access to private park for employees & their families

Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type:
Regular / Permanent
Group:
Magna Corporate

Skills Required

  • Experience with machine learning and AI techniques, including computer vision and deep learning (e.g., TensorFlow)
  • Strong proficiency in Python for statistical analysis, machine learning, and data-driven solutions; working knowledge of C++
  • Experience with data management and processing using PySpark and SQL
  • Familiarity with cloud platforms and tools such as Microsoft Azure, AWS, and Databricks
  • Experience working in agile environments, including tools such as JIRA and Confluence, and DevOps practices

What the Team is Saying

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Magna International Compensation & Benefits Highlights

  • Healthcare Strength Health coverage includes medical, dental, and vision in the U.S., with wellness and mental‑health support through an Employee & Family Assistance Program; some locations are highlighted as offering “exceptional” coverage. This signals solid core protection across major health needs.
  • Retirement Support A 401(k) with company match, profit‑sharing, and pension/other long‑term programs are cited, and company materials confirm ongoing, company‑funded retirement and benefit obligations. This indicates substantive long‑term financial support beyond base pay.
  • Wellbeing & Lifestyle Benefits Offerings include FSAs/HSAs, disability and life insurance, wellness programs, and discounts such as pet/auto insurance and retailer perks. Flexible schedules, hybrid/remote options, tuition reimbursement, job training, and conferences broaden work‑life and development support.

Magna International Insights

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The Company
HQ: Aurora, Ontario
171,000 Employees
Year Founded: 1957

What We Do

We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries. We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.

Why Work With Us

At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.

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Magna International Teams

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About our Teams

Magna International Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.

Typical time on-site: Not Specified
HQGlobal Headquarters - Aurora, Ontario, Canada
Bangalore, Karnataka, India
Graz, Austria
Lowell, Massachusetts
Monterrey, Mexico
Munich, Germany
Pune, Maharashtra, India
Sailauf, Germany
Saltillo, Mexico
US Headquarters - Troy, Michigan
Learn more

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