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 worlds 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 Magnas 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 Magnas 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 :

- Bachelors or Masters 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.