Global Industrial Data Science Engineer

Nexteer Automotive; Auburn Hills (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

Nexteer Automotive seeks a Global Engineer, Industrial Data Science to develop and deploy analytics across manufacturing operations. You will turn production, quality, and equipment data into actionable insights using Python, ML, and visualizations.

Collaborate with Manufacturing Engineering, Quality, IT, and OT to standardize data and deliver scalable analytics, digital twins, MES, IIoT, and industrial AI across sites worldwide.

Qualifications

• Bachelor's degree in a technical field; Master's preferred.
• 5+ years in manufacturing analytics, data science, or related roles.
• Proficiency in Python for data prep, analysis, and ML.
• Strong SQL, Power BI, Excel, and visualization skills.
• Fluent English with ability to explain analytics to non-technical audiences.

Responsibilities

• Analyze manufacturing data to identify trends, losses, and improvements.
• Develop descriptive, predictive, and prescriptive analytics for operations.
• Build reusable Python workflows and data products for manufacturing engineering.
• Create dashboards and data visualizations to support decision making.
• Collaborate with global teams and lead analytics initiatives.

Skills

Python

SQL

Power BI

Fluent English

Data visualization

Education

Bachelor's degree in data science / engineering

Master's degree preferred

Tools

Azure analytics services

Databricks

PySpark

OPC UA / MQTT integration

Job description

Nexteer Automotive seeks a Global Engineer, Industrial Data Science to develop and deploy analytics across manufacturing operations. You will turn production, quality, and equipment data into actionable insights using Python, ML, and visualizations.

Collaborate with Manufacturing Engineering, Quality, IT, and OT to standardize data and deliver scalable analytics, digital twins, MES, IIoT, and industrial AI across sites worldwide.