Job descriptions may display in multiple languagesbased on your language selection.
What we offer:
Group Summary:
Job Responsibilities:
About the Role
Magna Powertrain is seeking aSenior Data Scientistto drive data-driven decision-making across manufacturing and engineering operations. In 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, Tableau,Grafana,etc.).
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
Bachelor’s or master’s degree (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, TensorFlow,PyTorch,Jupyter).
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. 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.
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:
Group: