Industrial Digital Transformation Analyst

Westrock

. Develop projects using statistical modeling, Machine Learning, or Artificial Intelligence tools appropriate to each project, with the goal of driving continuous improvement, increasing productivity, optimizing processes, and enhancing reliability in industrial operations .

Posted 11/12/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Machine Learning, Artificial Intelligence, and statistical modeling to drive continuous improvement and optimize industrial processes. Proficient in data analysis, predictive maintenance, and collaboration across engineering and operational teams to deliver scalable solutions.

Highest-signal resume keywords

Machine Learning ImplementationStatistical ModelingData AnalysisPredictive MaintenanceIndustry 4.0 Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLPredictive ModelingTime Series AnalysisAnomaly DetectionClassification ModelsRegression ModelsApplied StatisticsIndustrial Process OptimizationData Manipulation

Soft Skills

CollaborationCommunicationProblem-SolvingDecision-MakingData-Driven Culture Promotion

Tools & Technologies

Analytics ToolsIndustrial AutomationGenerative AILLMsIndustrial Copilots

Industry Keywords

Industry 4.0Industrial DigitalizationIndustrial Machine LearningPredictive MaintenanceEnergy EfficiencyProcess OptimizationKPI MonitoringOEECost AvoidanceQuality Improvement

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop projects using statistical modeling, Machine Learning, or Artificial Intelligence tools appropriate to each project, with the goal of driving continuous improvement, increasing productivity, optimizing processes, and enhancing reliability in industrial operations
Map, structure, and manipulate internal and external databases using appropriate analytics tools
Lead digital transformation projects connecting Engineering, Automation, Data, Machine Learning, and Artificial Intelligence
Structure, contextualize, and analyze data from equipment, sensors, historians, and industrial systems
Implement Machine Learning and Artificial Intelligence use cases focused on predictive maintenance, anomaly detection, quality, energy, and productivity
Monitor and improve the performance of statistical, ML, and AI models; troubleshoot code- or data-related issues
Collaborate with Operations, Maintenance, Engineering, Quality, and IT to transform industrial challenges into scalable solutions
Evaluate new technologies, platforms, and architectures for Industry 4.0, Industrial Analytics, and AI
Ensure measurable impact through KPIs such as OEE, savings, cost avoidance, quality, energy, availability, and ROI
Develop and present reports for business teams and managers to support decision-making
Support business teams in interpreting results and improvement recommendations
Conduct exploratory analyses and promote a data-driven culture

Requirements

What you’ll need

Bachelor’s degree in Control and Automation Engineering, Electrical Engineering, Mechanical Engineering, Chemical Engineering, or a related field; or in Statistics, Mathematics, or Data Science applied to industry
Intermediate English proficiency
Knowledge of Python, SQL, and databases
Knowledge of predictive modeling, time series, anomaly detection, and classification and regression models (ML)
Familiarity with Industrial Automation, Generative AI, LLMs, and Industrial Copilots is desirable
Familiarity with applied statistics and industrial process optimization is desirable
Previous experience in industrial environments is desirable
Experience with Industry 4.0, Industrial Digitalization, Industrial Machine Learning, Predictive Maintenance, Energy Efficiency, and Process Optimization projects is desirable