Overview As Global Engineer, Industrial Data Science, you will develop and deploy analytics across Nexteer's global manufacturing operations to turn production, quality, and equipment data into tangible improvements. You collaborate with cross-functional teams to establish scalable data methods, data standards, and reusable analytics for optimization, predictive maintenance, and digital manufacturing initiatives. You will shape global data-driven decisions, support ESP/IIoT platforms, and advance factory intelligence. This is a hands-on role at scale, enabling safer, higher-quality, and more efficient manufacturing. ResponsibilitiesAnalyze manufacturing and quality data to uncover trends, losses, and improvement opportunitiesDevelop descriptive to prescriptive analytics supporting scrap reduction, yield, throughput, and OEEBuild/validate statistical and ML models for anomaly detection and predictive maintenanceCreate reusable Python analytics workflows and data products for manufacturing applicationsAcquire, clean, transform, and connect data from PLCs, SCADA, MES, traceability, ERP, sensorsDevelop scalable data pipelines and datasets for analysis and deploymentCollaborate with Automation, IT, OT to improve data governance and cybersecurity complianceSupport Smart Factory, MES, IIoT, Digital Twin, and industrial AI initiativesDevelop dashboards and data models using Power BI and Python; define KPI standardsLead or support cross-functional analytics projects and coach data literacy in plants Key requirementsMinimum 5+ years in manufacturing analytics, quality analytics, or related fieldsProficiency in Python for data prep, analysis, and model developmentWorking proficiency with SQL and relational data conceptsExperience building BI solutions with Power BI and advanced ExcelFluent English, strong communication and presentation skillsAbility to work independently and in global cross-functional teams; willingness to travelTrack record applying data analysis to manufacturing or operational improvementsStrong analytical thinkingStructured problem-solvingClear written and verbal communicationPython for data preparation, analysis, visualization, automation, and modelingSQL and relational databasesPower BI and Excel for analytics and dashboards
Not specified in the original listing.
Not specified in the original listing.
