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Data Scientist

Magna International

Job Location:

Ramos Arizpe - Mexico

Monthly Salary: Not provided by the employer

Posted: 10 August 2026 (15 hours ago)

Application Deadline: 7 November 2026

Vacancies: 1 Vacancy

Job Summary

Job descriptions may display in multiple languagesbased 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:

Transforming mobility. Making automotive technology that is smarter cleaner safer and lighter. Thats what were passionate about at Magna Powertrain and we do it by creating world-class powertrain systems. We are a premier supplier for the global automotive industry with full capabilities in design development testing and manufacturing of complex powertrain systems. Our name stands for quality environmental consciousness and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Powertrain.

Job Responsibilities:

About the Role

Magna Powertrain is seeking aSenior Data Scientistto drive data-driven decision-making across manufacturing and engineering this role you will leverage advanced analytics machine learning and statistical modeling to optimize production processes improve product quality and support digital transformation initiatives within our plant in Ramos Arizpe.

This is a high-impact position that collaborates closely with cross-functional teams including manufacturing quality engineering and IT.

Key Responsibilities

Develop and deploymachine learning modelsto optimize manufacturing processes predictive maintenance and quality control.

Analyze large-scale structured and unstructured datasets from production systems (MES ERP IoT sensors).

Design and implementdata pipelines and feature engineering workflowsfor industrial data.

Identify patterns trends and root causes to supportcontinuous improvementof business processes.

Build dashboards and visualizations to communicate insights to stakeholders (Power BI TableauGrafanaetc.).

Collaborate with engineering teams to integrate analytics solutions into production environments.

Lead experimentation and hypothesis testing to improve operational efficiency.

Mentor junior data scientists and analysts promoting best practices in analytics and coding.

Ensure data governance quality and compliance with company standards.

Qualifications

Bachelors or mastersdegree (PhD preferred) inData Science Statistics Computer Science Engineering or relatedfield.

5 years of experiencein data science preferably within manufacturing or industrial environments.

Strong proficiency inPython or Rand experience with ML frameworks (e.g. scikit-learn TensorFlowPyTorchJupyter).

Experience working withSQL databasesand big data tools (e.g. Spark is a plus).

Hands-on experience withtime-series analysis predictive modeling and optimization.

Familiarity withmanufacturing systems (MES PLC data IoT platforms)is highly desirable.

Experience withdata visualization tools(Power BI Tableau Grafana).

Experience withdata engineering(Databricks Microsoft Fabric) cloud platforms (Azure AWS)and deployment pipelines

Solid understanding of statistics A/B testing and experimental design.

Strong communication skills with the ability to translate complex insights into business value.

Fluent in Spanish (mandatory)and professional working proficiency in English

Preferred Skills

Experience inautomotive or Tier 1 supplier environments.

Knowledge ofIndustry 4.0 smart factory and digital twin concepts.

Background inMLOpsand model deployment in production environments.

Awareness Unity Empowerment:

At Magna we believe that a diverse workforce is critical to our success. Thats 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 Powertrain

Required Experience:

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