Ramos Arizpe, MX
Open 4 months, first seen by us 123 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Magna Powertrain is seeking a Senior Data Scientist to drive data-driven decision-making across manufacturing and engineering operations.
This is a high-impact position that collaborates closely with cross-functional teams including manufacturing, quality, engineering, and IT.
Develop and deploy machine learning models for process optimization, predictive maintenance and quality control
Design data pipelines and feature engineering workflows for industrial data
Analyze large-scale production data from MES, ERP and IoT sensors
Find patterns and root causes to support continuous improvement
Build dashboards and visualizations for stakeholders
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.
Develop and deploy machine learning models to optimize manufacturing processes, predictive maintenance, and quality control.
Design and implement data pipelines and feature engineering workflows for industrial data.
Analyze large-scale structured and unstructured datasets from production systems (MES, ERP, IoT sensors).
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.).
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.
Experience with data visualization tools (Power BI, Tableau, Grafana).
Experience in automotive or Tier 1 supplier environments.
Familiarity with manufacturing systems (MES, PLC data, IoT platforms) is highly desirable.
Knowledge of Industry 4.0, smart factory, and digital twin concepts.
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.
Open 4 monthsWe first saw this posting 123 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 123
Up longer than most. Similar jobs usually come down between day 8 and day 60.
Well past Magna International’s usual: its jobs come down by about day 50.
From 11,783 similar postings that came down, and 21 of Magna International’s. Coming down is not always a hire.
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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).
- 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.
- 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.
- 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.
- 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
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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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.
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Ramos Arizpe, MX
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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