Global Engineer, Industrial Data Science

Position: Global Engineer Industrial Data Science

Position: Global Engineer Industrial Data Science

At Nexteer our strength lies in the diversity of our teameach 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 weve 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 youre 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.
• 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.

• Bachelors degree in Data Science Industrial Engineering Manufacturing Engineering Computer Science Statistics Applied Mathematics Mechanical Engineering Electrical Engineering or a related technical field.
• Masters 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 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 13000 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 Nexteers Human Resources team. No other Nexteer employee is authorized to bind Nexteer to any agreement regarding the placement of candidates by an agency.