Analista de Transformação Digital Industrial

📋 Description

• Develop projects using appropriate statistical modeling, Machine Learning, and Artificial
• Map, structure, manipulate, and analyze internal and external datasets using appropriate data
• Lead digital transformation projects connecting Process Engineering, Industrial Automation, Data
• Structure, contextualize, and analyze data generated by industrial equipment, sensors, historians
• Implement Machine Learning and AI use cases focused on predictive maintenance, anomaly detection
• Monitor and improve the performance of statistical, ML, and AI models, including troubleshooting

🎯 Requirements

• Bachelor’s degree in Control and Automation Engineering, Electrical Engineering, Mechanical
• Intermediate English proficiency.
• Knowledge of Python, SQL, and databases.
• Knowledge of predictive modeling, time-series analysis, anomaly detection, classification, and
• Familiarity with Industrial Automation, Generative AI, LLMs, and industrial copilots is desirable.
• Knowledge of applied statistics and industrial process optimization is desirable.

🎁 Benefits

• Remote work model.
• Opportunity to work on digital transformation initiatives across industrial operations.
• Exposure to Industry 4.0, Industrial Analytics, Machine Learning, Artificial Intelligence, and
• Cross-functional collaboration with Operations, Maintenance, Engineering, Quality, and IT teams.
• Opportunity to develop solutions with measurable impact on productivity, quality, energy
• Exposure to emerging technologies, platforms, and architectures for industrial digitalization.