Data Scientist Americas

Magna International; Newmarket; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading automotive technology company is seeking a Data Scientist to join their Mechatronics, Mirrors and Lighting group. The role involves developing machine learning models, managing data pipelines, and optimizing algorithms for industrial applications. The ideal candidate will have a strong background in data science, particularly in IIoT and experience with machine learning frameworks. This position offers opportunities for innovation and collaboration in a dynamic environment.

Qualifications

• Minimum 3 years in data science/model development roles, with at least 2 years in industrial applications.
• Experience with IoT applications, smart manufacturing, and industrial automation is required.
• Strong background in machine learning frameworks and DevOps tools.

Responsibilities

• Design and deploy machine learning models for IoT data.
• Develop and maintain scalable ETL pipelines for data processing.
• Collaborate with engineers and managers to derive insights from IoT data.

Skills

Python

SQL

Machine Learning

Data Analysis

Problem-solving

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, or Mathematics

Master’s Degree or equivalent

Tools

TensorFlow

PyTorch

Docker

Kubernetes

AWS

GCP

Azure

Job description

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

The Mechatronics, Mirrors and Lighting group specializes in automotive technologies that are driving the future of mobility. Combining a deep systems knowledge to develop unique vehicle access experiences, intelligent visions systems and advanced automotive lighting technologies, MML's expertise light the path to innovation, safety and styling.

Job Responsibilities

• Model Development: Design and deploy machine learning and deep learning models tailored to IoT data, focusing on predictive maintenance, anomaly detection, and performance optimization.
• Data Pipeline Management: Develop and maintain scalable ETL/ELT pipelines to process large volumes of real-time and historical sensor data.
• Cross-Functional Collaboration: Work closely with hardware engineers, product managers, and business stakeholders to translate IoT data into actionable insights and integrated solutions.
• Algorithm Optimization: Enhance the performance and scalability of algorithms, ensuring they meet the demands of production environments.
• Research & Innovation: Stay up to date with the latest advancements in IoT analytics and machine learning, applying innovative approaches to solve complex challenges.
• Mentorship: Provide guidance and mentorship to the divisions, fostering a collaborative and growth-oriented team environment.
  
  

Professional Experience And Education

• Required: Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
• Preferred: Master’s Degree or equivalent combination of education.
• Minimum of 3 years in data science/model development roles, with at least 2 years focusing on Industrial applications.
• Experience in Industrial IoT (IIoT) applications, such as smart manufacturing, predictive maintenance, and industrial automation.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with DevOps tools and practices, including:
• Containerization technologies like Docker and Kubernetes.
• Infrastructure as Code (IaC) tools such as Terraform and Ansible.
• Continuous Integration/Continuous Deployment (CI/CD) tools like Jenkins, GitHub actions.
• Monitoring and observability tools such as Prometheus and Grafana.
• Version control systems like Git.
  

Skills And Competencies

• Proficiency in Python and SQL Server, MySQL and Oracle
• In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
• Knowledgeable of statistical methods such as regression, probability analysis, risk analysis, statistical process control, clustering is desired and basic AI fundamentals
• Familiarity with big data technologies (e.g., Spark, Kafka) and cloud platforms (AWS, GCP, Azure).
• Familiarity with edge computing, real-time data processing, and digital twin.
• Strong problem-solving abilities with experience in time-series analysis, anomaly detection, and predictive modeling.
• Excellent written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  
  

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 Mechatronics, Mirrors & Lighting