Analista de Transformação Digital Industrial

Accountabilities: • Develop projects using appropriate statistical modeling, Machine Learning, and Artificial Intelligence techniques to support continuous improvement, productivity gains, process optimization, and operational reliability.

• Map, structure, manipulate, and analyze internal and external datasets using appropriate data analysis tools and methodologies.

• Lead digital transformation projects connecting Process Engineering, Industrial Automation, Data, Machine Learning, and Artificial Intelligence.

• Structure, contextualize, and analyze data generated by industrial equipment, sensors, historians, and operational systems.

• Implement Machine Learning and AI use cases focused on predictive maintenance, anomaly detection, quality, energy efficiency, and productivity.

• Monitor and improve the performance of statistical, ML, and AI models, including troubleshooting code and data-related issues.

• Collaborate with Operations, Maintenance, Engineering, Quality, and IT teams to transform industrial challenges into scalable solutions.

• Evaluate emerging technologies, platforms, and architectures related to Industry 4.0, Industrial Analytics, and Artificial Intelligence.

• Ensure projects generate measurable business impact through KPIs such as OEE, savings, cost avoidance, quality, energy, availability, and ROI.

• Develop and present reports and insights to business teams and managers to support operational and strategic decision-making.

• Support business teams in interpreting analytical results and translating findings into improvement recommendations.

• Conduct exploratory analyses and contribute to the development and dissemination of a data-driven culture.

Requirements

• 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 analysis, anomaly detection, classification, and regression Machine Learning models.

• Familiarity with Industrial Automation, Generative AI, LLMs, and industrial copilots is desirable.

• Knowledge of 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, or process optimization projects is desirable.

• Strong analytical, problem-solving, and communication skills, with the ability to collaborate across technical and business teams.

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 industrial data platforms.

• Cross-functional collaboration with Operations, Maintenance, Engineering, Quality, and IT teams.

• Opportunity to develop solutions with measurable impact on productivity, quality, energy, reliability, and operational efficiency.

• Exposure to emerging technologies, platforms, and architectures for industrial digitalization.

• Opportunity to contribute to the development of a data-driven culture and scalable digital solutions.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

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