Industrial Digital Transformation Analyst

Westrock

. Develop projects using statistical modeling, ML, or AI tools appropriate to each project, with the aim of driving continuous improvement, increasing productivity at scale, optimizing processes, and improving reliability in industrial operations .

Posted 9/29/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling, Machine Learning, and Artificial Intelligence to drive industrial process optimization and digital transformation. Proficient in data analysis, predictive maintenance, and the application of Industry 4.0 technologies to enhance operational efficiency.

Highest-signal resume keywords

Statistical ModelingMachine LearningArtificial IntelligenceData AnalysisIndustry 4.0

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-Solving

Tools & Technologies

Analytics ToolsIndustrial AutomationGenerative AILLMsIndustrial Copilots

Industry Keywords

Industrial DigitalizationPredictive MaintenanceEnergy EfficiencyProcess OptimizationKPI Evaluation

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop projects using statistical modeling, ML, or AI tools appropriate to each project, with the aim of driving continuous improvement, increasing productivity at scale, optimizing processes, and improving reliability in industrial operations
Map, structure, and manipulate internal and external databases using appropriate analytics tools
Lead digital transformation projects by 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
Work closely with Operations, Maintenance, Engineering, Quality, and IT teams to transform industrial challenges into scalable solutions
Evaluate new technologies, platforms, and architectures focused on 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)
Knowledge of Industrial Automation, Generative AI, LLMs, and Industrial Copilots is a plus
Knowledge of applied statistics and industrial process optimization is a plus
Previous experience in industrial environments is a plus
Experience with Industry 4.0, Industrial Digitalization, Industrial Machine Learning, Predictive Maintenance, Energy Efficiency, and Process Optimization projects is a plus

Benefits

Comp & perks

Remote work
This position is also open to people with disabilities