Data Scientist – Predictive Maintenance & Condition Monitoring

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Description

Our client is a fast-growing technology company delivering integrated hardware and analytics solutions that help industrial businesses minimize downtime, strengthen reliability, and get more out of their maintenance and operations. As they scale across the region, they are looking for an self-driven and proactive mindset professional to join their Singapore team as: Data Scientist – Predictive Maintenance & Condition Monitoring Mission: We are seeking an experienced Data Scientist with proven experience in data science and engineering to develop AI/ML solutions for predictive maintenance and condition monitoring of industrial equipment. You will work with high-frequency sensor data, particularly vibration signals , to develop machine learning models that detect anomalies, diagnose faults, estimate remaining useful life (RUL), and improve asset reliability. The ideal candidate combines strong data science expertise with knowledge of vibration signal processing and industrial rotating machinery. Responsibilities • Analyze vibration signals from rotating machinery (e.g., bearings, gearboxes, pumps, and compressors) using industrial sensing solutions such as smart data loggers and other condition monitoring systems. • Perform feature extraction and signal analysis in the time, frequency, and time-frequency domains. • Develop, deploy, and optimize AI/ML models for predictive maintenance, condition monitoring, anomaly detection, failure prediction, and Remaining Useful Life (RUL)

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