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What we offer:Job Responsibilities:
About the Role
Magna Powertrain is seeking a Senior Data Scientist to 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 deploy machine learning models to optimize manufacturing processes, predictive maintenance, and quality control.
Analyze large-scale structured and unstructured datasets from production systems (MES, ERP, IoT sensors).
Design and implement data pipelines and feature engineering workflows for industrial data.
Identify patterns, trends, and root causes to support continuous improvement of 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) in Data Science, Statistics, Computer Science, Engineering, or related field.
5+ years of experience in data science, preferably within manufacturing or industrial environments.
Strong proficiency in Python or R and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Jupyter).
Experience working with SQL databases and big data tools (e.g., Spark is a plus).
Hands-on experience with time-series analysis, predictive modeling, and optimization.
Familiarity with manufacturing systems (MES, PLC data, IoT platforms) is highly desirable.
Experience with data visualization tools (Power BI, Tableau, Grafana).
Experience with data 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 in automotive or Tier 1 supplier environments.
Knowledge of Industry 4.0, smart factory, and digital twin concepts.
Background in MLOps and model deployment in production environments.
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:
Skills Required
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or related field
- PhD in relevant field
- 5+ years of experience in data science, preferably in manufacturing or industrial environments
- Strong proficiency in Python or R
- Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch) and Jupyter
- Experience with SQL databases
- Experience with big data tools (e.g., Spark)
- Hands-on experience with time-series analysis, predictive modeling, and optimization
- Familiarity with manufacturing systems (MES, PLC data, IoT platforms)
- Experience with data visualization tools (Power BI, Tableau, Grafana)
- Experience with data engineering platforms (Databricks, Microsoft Fabric) and cloud platforms (Azure, AWS)
- Experience with deployment pipelines and MLOps practices
- Solid understanding of statistics, A/B testing, and experimental design
- Strong communication skills and ability to translate insights to business value
- Fluent in Spanish (mandatory) and professional working proficiency in English
- Experience in automotive or Tier 1 supplier environments
- Knowledge of Industry 4.0, smart factory, and digital twin concepts
What the Team is Saying
Magna International Compensation & Benefits Highlights
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Healthcare Strength — Benefits include medical, dental, vision, and pharmacy coverage alongside disability and life insurance, plus mental‑health support via an Employee & Family Assistance Program and wellness programs. Voluntary options such as pet and auto/home insurance further expand the health-related offering.
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Retirement Support — Retirement programs feature a 401(k) with company match and profit sharing, with corporate filings confirming the U.S. 401(k) plan and employer contributions. Other long‑term levers like equity programs and performance bonuses add to wealth‑building potential.
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Wellbeing & Lifestyle Benefits — Company materials highlight a total‑rewards commitment and programs such as donation‑matching and an employee disaster relief fund that provide added support. Work‑life and development elements (e.g., PTO, parental leave, flexible work, and tuition reimbursement) are presented for many roles.
Magna International Insights
What We Do
We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries. We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.
Why Work With Us
At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.
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Magna International Teams
Magna International Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.
