TRACTIAN
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.
Data Scientist - Predictive Maintenance
Job not on LinkedIn
January 10
TRACTIAN
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.
đź“‹ Description
• Data Science at TRACTIAN focuses on extracting valuable insights from vast amounts of industrial data. • Develops algorithms and predictive models to monitor and predict equipment failures. • Collaborates closely with engineers for industry-leading solutions.
🎯 Requirements
• Experience in predictive maintenance and condition monitoring. • Expertise in machine learning, time-series analysis, and anomaly detection. • Proficiency in Python • Knowledge of signal processing and industrial sensor data. • Experience with real-time data pipelines and cloud platforms. • Strong problem-solving skills and ability to handle noisy, high-dimensional data.
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