Data Scientist, Digital Platforms & Products

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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:

We are seeking a Data Scientist with 4–6 years of experience to join Magna’s Digital Products team. This role requires a strong product-oriented mindset, the ability to engage with stakeholders, and the technical skills to design, build, and scale data science solutions on Databricks and cloud platforms (Azure / AWS). You will be central to embedding intelligence into Magna’s digital products and driving measurable business impact.

Key Responsibilities

• Partner with stakeholders across product, business, and technology teams to identify opportunities where data science can deliver value.
• Translate business problems into analytical frameworks and deliver data-powered digital solutions.
• Develop and deploy machine learning models using Databricks (PySpark, MLflow, Delta Lake).
• Build scalable pipelines and ML workflows using Azure / AWS cloud services (e.g., Azure Data Lake, Synapse, Azure ML, Azure DevOps / AWS S3, Glue, SageMaker, Lambda).
• Communicate insights and recommendations to both technical and non-technical audiences, enabling data-driven decision-making.
• Work in an agile, product-centric environment, balancing stakeholder needs and technical feasibility.
• Apply MLOps best practices for reproducibility, CI/CD, monitoring, and continuous improvement.

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or related field.
• 4–6 years of experience in data science, with a track record of delivering production-ready ML solutions.
• Strong programming skills in Python and experience with PySpark.
• Hands-on experience with Databricks for analytics, ML, and data pipelines.
• Proficiency with Azure / AWS cloud services for data and ML workloads.
• Strong stakeholder engagement and communication skills; able to capture requirements, manage expectations, and present outcomes effectively.
• Solid foundation in machine learning algorithms and statistical methods.
• SQL expertise for data manipulation and querying.

Preferred Skills

• Experience working in digital product teams alongside product managers and engineers.
• Familiarity with Power BI / Tableau for visualization.
• Knowledge of MLOps frameworks and monitoring practices.
• Understanding of automotive or manufacturing business processes.

What We Offer

• Work at the intersection of data, digital products, and innovation.
• Direct engagement with business stakeholders and global teams.
• Opportunities for continuous learning and upskilling in advanced technologies.
• Competitive compensation and benefits in a global automotive leader.

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.

Worker Type:

Regular / Permanent

Group:

Magna Corporate