Senior Data Scientist

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 highly skilled Senior Data Scientist specializing in routing, optimization, and logistics to join our team. You will lead the development of routing algorithms, vehicle routing problem (VRP) solutions, and optimization models to enhance operational efficiency. This role requires expertise in data science, operations research, and applied machine learning to solve complex route optimization, last-mile delivery, and supply chain challenges. #LI-Hybrid
Major Responsibilities:

• Design, develop, and deploy advanced machine learning models and predictive analytics solutions.

• Lead data-driven research projects to improve business processes, customer experiences, and operational efficiency.

• Work with structured and unstructured data to uncover insights, trends, and patterns.

• Develop scalable data pipelines and ensure data integrity for analytics and AI applications.

• Collaborate with engineering, product, and business teams to define problems and propose data-driven solutions.

• Optimize algorithms for performance, scalability, and interpretability.

• Stay updated on emerging trends, technologies, and best practices in data science and AI.

• Mentor and provide technical guidance to junior data scientists and analysts.

• Communicate findings and recommendations to stakeholders through reports, dashboards, and presentations.

Work Experience and Education:

• 7+ years of hands-on experience in data science, machine learning, and analytics.

Skills and Competencies:

• Strong proficiency in Python or R, and experience with libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy etc.

• Expertise in SQL and working with large-scale databases.

• Experience with cloud platforms such as AWS, Azure, or GCP.

• Proficiency in data visualization tools (AWS QuickSight, Matplotlib, etc.).

• Strong knowledge of statistical modeling, machine learning, deep learning, and optimization techniques.

• Familiarity with GIS and geospatial tools (PostGIS, QGIS, OpenStreetMap, Valhalla, OSRM).

• Experience with A/B testing and causal inference techniques.

• Background in SLAM, NLP, time-series forecasting, or recommendation systems.

• Exposure to business intelligence and data engineering practices.

• Familiarity with MLOps practices, model deployment, and CI/CD pipelines.

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 to comply with GDPR requirements and your local Data Privacy Law.
Worker Type:
Regular / Permanent
Group:
Magna Corporate