
Enterprise • Industrial • Energy
TRACTIAN is a company specializing in Asset Performance Management, providing industry-leading solutions to ensure zero downtime for manufacturing plants. With products like Smart Trac Condition Monitoring & Auto Diagnosis and TracOS™ Maintenance Management Software, TRACTIAN enables plant managers to predict failures, avoid downtime, and manage assets efficiently. Their solutions also focus on energy efficiency, transforming energy consumption data into profit. TRACTIAN collaborates with industries such as automotive, mining, oil and gas, and pharmaceuticals, offering advanced insights and AI-powered diagnostics to enhance machine reliability and operational efficiency.
51 - 200 employees
🏢 Enterprise
⚡ Energy
November 10
🗣️🇧🇷🇵🇹 Portuguese Required

Enterprise • Industrial • Energy
TRACTIAN is a company specializing in Asset Performance Management, providing industry-leading solutions to ensure zero downtime for manufacturing plants. With products like Smart Trac Condition Monitoring & Auto Diagnosis and TracOS™ Maintenance Management Software, TRACTIAN enables plant managers to predict failures, avoid downtime, and manage assets efficiently. Their solutions also focus on energy efficiency, transforming energy consumption data into profit. TRACTIAN collaborates with industries such as automotive, mining, oil and gas, and pharmaceuticals, offering advanced insights and AI-powered diagnostics to enhance machine reliability and operational efficiency.
51 - 200 employees
🏢 Enterprise
⚡ Energy
• Work directly with Tractian OEE, our product focused on production monitoring. • Develop classification and regression models. • Build ML models to evaluate production efficiency. • Develop statistical models for machine signal processing. • Design heuristics to model the behavior of an industrial plant. • Test and evaluate models for performance, accuracy, and recall. • Integrate existing data pipelines and models from other products into OEE models. • Collaborate with engineers to improve data pipelines and enhance model accuracy. • Build scalable, real-time models for low-latency predictions. • Create diagnostic tools that enable technicians to make data-driven maintenance decisions. • Continuously refine models based on real-world performance and feedback.
• Bachelor’s degree in Software Engineering, Statistics, Computer Science, or related field. • Proven experience as a Data Scientist. • Advanced knowledge of statistics. • Expertise in machine learning, time-series analysis, and anomaly detection. • Proficiency in Python. • Knowledge of signal processing and industrial sensor data. • Strong problem-solving skills and ability to work with high-dimensional data.
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