Senior Applied Scientist, ML Predictive Maintenance (Asset Intelligence)

MaintainX is the world’s leading mobile-first Asset and Work Intelligence platform for industrial and frontline environments. The role involves designing and optimizing machine learning models for fault detection and classification, conducting experiments on time-series data, and collaborating with product managers and domain experts to enhance product features and performance.

Responsibilities:

• Design, develop and optimize machine learning models for fault detection and classification end-to-end e.g. data and training modeling choices to evaluation strategies and production constraints
• Perform EDA on vibration, OT and time-series data to uncover insights and identify patterns indicative of faults or anomalies
• Conduct experiments and evaluation of various algorithms on time-series modeling, signal processing, and statistical methods, to optimize model performance
• Partner with PMs in product feature discovery and roadmap prioritization through validating product hypotheses, designing success metrics and quantifying end user impact
• Collaborate with domain experts to validate findings and ensure alignment with real-world applications
• Engage with your community of peers to challenge the status quo, improve our shared ways of working, and influence overall architecture decisions, continuing to foster our culture of Applied Science excellence
• On-call duties