Global Engineer, Industrial Data Science- Auburn Hills
An industrial data science engineer who builds and deploys analytics solutions across Nexteer's global manufacturing plants, using Python, SQL, statistics, machine learning, and Power BI to turn production, quality, and equipment data into improvements in safety, quality, OEE, and cost, supporting predictive maintenance, MES/IIoT, and Industry 4.0 initiatives.
Compensation
Not disclosed
Location
Not listed
Work setup
Not specified
Seniority
Not specified
Employment
Contract
Experience
5+ years
Category
Data science
Posted
Skills
accessibility
adas
ai
analytics
anomaly-detection
api
automation
azure
business-intelligence
computer-vision
corrective-action
cybersecurity
data-modeling
data-pipelines
data-science
data-visualization
databricks
erp
machine-learning
matplotlib
model-deployment
mqtt
numpy
pandas
plotly
powerbi
pyspark
python
rest
root-cause-analysis
sap
scada
scikit-learn
seaborn
six-sigma
sql
statistics
time-series
Must have
5+ years of relevant experience in manufacturing analytics, quality analytics, industrial engineering, manufacturing engineering, automation, data science, or related field
Demonstrated experience applying data analysis to manufacturing, quality, launch, or operational improvement problems
Practical proficiency with Python for data preparation, analysis, visualization, automation, and model development
Working proficiency with SQL and relational data concepts
Experience developing business intelligence solutions using Power BI and advanced Microsoft Excel
Bachelor's degree in Data Science, Industrial Engineering, Manufacturing Engineering, Computer Science, Statistics, Applied Mathematics, Mechanical/Electrical Engineering, or related technical field
Fluent English and ability to explain complex analytics concepts to non-technical audiences
Strong analytical thinking, structured problem-solving, written communication, visualization, and presentation skills
Ability to work independently and within global, cross-functional teams, create accountability, and lead by example
Ability to travel locally and internationally
Not eligible for employer-sponsored work authorization (no H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Nice to have
Automotive, discrete manufacturing, or high-volume manufacturing experience
Project leadership and global cross-functional collaboration experience
Experience with Azure analytics services, Databricks, PySpark, predictive maintenance, anomaly detection, computer vision, digital twins, simulation, or industrial AI
Master's degree in Data Science, Analytics, Engineering, or related field
Full description
Position: Global Engineer, Industrial Data Science
Position: Global Engineer, Industrial Data Science
At Nexteer, our strength lies in the diversity of our team—each member contributing unique backgrounds, experiences, and aspirations. We believe this diversity fuels our innovation, broadens our perspectives, and propels our collective growth.
For over a century, we’ve been innovators in the automotive industry. Our vision is clear - we are a global leading motion control technology company accelerating mobility to be safe, green and exciting. Our unwavering commitment to Quality, Collaboration, Integrity, and Accountability guides us as we solve motion control challenges for our global customers. If you’re ready to join a dynamic team that drives change and makes a difference, Nexteer welcomes you!
About the Role:
Nexteer is looking for a Global Engineer, Industrial Data Science - Manufacturing Engineering to develop, deploy, and continuously improve industrial analytics solutions across our global manufacturing operations. This role combines manufacturing knowledge, statistics, Python, machine learning, and data visualization to convert production, quality, equipment, traceability, and operational data into practical improvements in safety, quality, delivery, cost, launch performance, and equipment effectiveness.
You will collaborate with Manufacturing Engineering, Quality, Operations, Automation, IT/OT, and Digital Manufacturing teams to establish scalable analytics methods, common data standards, and reusable solutions supporting process optimization, predictive maintenance, digital twins, MES, IIoT, and industrial AI.
Key Responsibilities
As a Global Engineer, Industrial Data Science, you will be responsible to:
Manufacturing Analytics and Data Science
Analyze manufacturing, quality, maintenance, process, and traceability data to identify trends, losses, constraints, and improvement opportunities.
Develop descriptive, diagnostic, predictive, and prescriptive analytics supporting scrap reduction, first-pass yield, throughput, OEE, process capability, equipment reliability, and warranty improvement.
Build and validate statistical and machine learning models for anomaly detection, defect prediction, predictive maintenance, process variation, and manufacturing optimization.
Apply experimental design and statistical methods to validate root causes and measurable business impact.
Develop reusable Python-based analytics workflows, data products, and automation scripts for manufacturing engineering applications.
Manufacturing Data Integration
Acquire, clean, transform, and connect data from PLCs, SCADA, MES, traceability systems, historians, quality systems, ERP platforms, sensors, and engineering databases.
Global Engineer, Industrial Data Science- Auburn Hills at Nexteer Automotive — aijobsearch
Develop and maintain scalable data pipelines and structured datasets for analysis, visualization, and model deployment.
Partner with Automation, Controls, IT, and OT teams to improve data availability, contextualization, governance, integrity, and cybersecurity compliance.
Support industrial connectivity using OPC UA, MQTT, SQL, REST APIs, and related manufacturing communication methods.
Digital Manufacturing and Industry 4.0
Support Smart Factory, MES, IIoT, Digital Twin, Virtual Commissioning, simulation, and industrial AI initiatives.
Develop analytics and optimization models that improve manufacturing system design, launch readiness, material flow, process settings, and production performance.
Evaluate emerging analytics and AI technologies, conduct practical pilots, and define scalable manufacturing use cases.
Contribute to global technical roadmaps, standards, reference architectures, and deployment playbooks for industrial data science.
Visualization and Decision Support
Develop automated dashboards, data models, and visual analytics using Power BI, Python, and approved enterprise platforms.
Establish clear definitions and governance for global manufacturing KPIs.
Translate complex analytical findings into practical recommendations for plant teams, engineers, and leadership.
Create concise technical documentation, model summaries, business cases, and training materials.
Quality, Launch, and Continuous Improvement
Support APQP, product and process launches, root cause analysis, corrective actions, and process capability improvement.
Apply Lean, Six Sigma, DMAIC, A3, SPC, and structured problem-solving methods supported by objective data analysis.
Quantify and validate operational and financial benefits from analytics-driven improvements.
Support replication of successful solutions across plants, products, and regions.
Collaboration and Leadership
Lead or support cross-functional analytics projects involving global and regional manufacturing teams.
Coach engineers and plant personnel in data literacy, statistical thinking, visualization, and data-driven problem solving.
Share standards, best practices, and lessons learned across the global manufacturing organization.
Maintain awareness of industrial analytics practices and recommend improvements to Nexteer methods and standards
Required Qualifications
Minimum 5+ years of relevant experience in manufacturing analytics, quality analytics, industrial engineering, manufacturing engineering, automation, data science, or a related field.
Demonstrated experience applying data analysis to manufacturing, quality, launch, or operational improvement problems.
Practical proficiency with Python for data preparation, analysis, visualization, automation, and model development.
Working proficiency with SQL and relational data concepts.
Experience developing business intelligence solutions using Power BI and advanced Microsoft Excel.
Fluent English and the ability to explain complex analytics concepts to non-technical audiences.
Strong analytical thinking, structured problem-solving, written communication, visualization, and presentation skills.
Ability to work independently and within global, cross-functional teams, create accountability, and lead by example.
Ability to travel locally and internationally.
Preferred Qualifications
Automotive, discrete manufacturing, or high-volume manufacturing experience.
Project leadership and global cross-functional collaboration experience.
Experience with Azure analytics services, Databricks, PySpark, predictive maintenance, anomaly detection, computer vision, digital twins, simulation, or industrial AI.
Technical Expertise
AreaExpertiseIndustrial Data Science
Python, SQL, data preparation, statistical analysis, regression, hypothesis testing, experimental design, time-series analytics, and machine learning.
Python Analytics
Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Plotly, or equivalent libraries.
Business Intelligence
Power BI, advanced Microsoft Excel, data modeling, dashboard development, and KPI standardization.
APQP, launch support, process capability, SPC, root cause analysis, corrective action, Lean, and Six Sigma.
Advanced Technologies
Azure analytics services, Databricks, PySpark, predictive maintenance, anomaly detection, computer vision, digital twins, simulation, and industrial AI.
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Education Requirements
Bachelor's degree in Data Science, Industrial Engineering, Manufacturing Engineering, Computer Science, Statistics, Applied Mathematics, Mechanical Engineering, Electrical Engineering, or a related technical field.
Master's degree in Data Science, Analytics, Engineering, or a related field is preferred.
This position is not eligible for employer-sponsored work authorization. Do not apply for this role if you will need immigration sponsorship now or in the future. This includes direct company sponsorship, entry of Nexteer as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Nexteer is an Equal Opportunity Employer Disabled/Minorities/Veterans/Women
Nexteer is an E-Verify employer. E-Verify is an internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employees to electronically verify the employment eligibility of their newly hired employees in the United States.
Accessibility for Applicants with Disabilities: If you need a reasonable accommodation for the online application process due to a disability, please email careers@nexteer.com. Please provide your contact information and details about the posted position of interest. Only inquiries regarding assistance for those who need an accommodation with the online application process due to a disability will be returned.
About Nexteer
Nexteer Automotive is a global leader in advanced steering and motion control systems, enabling intuitive, safe, and comfortable mobility for drivers around the world. Our innovative product portfolio includes Electric Power Steering (EPS), Steer-by-Wire™, Driveline, and Advanced Driver Assistance Systems (ADAS) technologies that support electrification, software-defined vehicles, and autonomous driving.
With approximately 13,000 employees and operations in more than 20 manufacturing plants and multiple technical centers globally, Nexteer partners with nearly every major global and regional automotive manufacturer.
Employment Agencies
Employment agencies are an important component of our talent acquisition strategy, and we value the partnerships we have built with our preferred vendors. We will not accept unsolicited resumes from employment agencies for any employment opportunity. All resumes submitted by search firms to any employee at Nexteer Automotive or directly to hiring managers in any form without a signed Nexteer Automotive Agency Agreement on file, and search engagement for that position, will be deemed unsolicited in nature, and no fee will be paid in the event the candidate is hired as a result of the referral or through other means. Additionally, any resume submitted without a contract in place will be considered Nexteer Automotive property and no fees will be paid to the agency if the candidate is hired.
Please note, agency agreements will only be valid if in writing and signed by a member of Nexteer’s Human Resources team. No other Nexteer employee is authorized to bind Nexteer to any agreement regarding the placement of candidates by an agency.