Data Scientist - Predictive Maintenance

📋 Description

• Develop ML-based predictive maintenance algorithms for time-series data.
• Analyze sensor data streams to predict equipment failures.
• Collaborate with engineers to improve data pipelines and model accuracy.
• Build scalable, real-time models for low-latency predictions.
• Create diagnostic tools enabling data-driven maintenance decisions.
• Work with the laboratory team to design experiments and validate models.

🎯 Requirements

• Expertise in ML, time-series analysis, and anomaly detection.
• Proficiency in Python and ML libraries (NumPy, pandas, scikit-learn, PyTorch).
• Solid understanding of signal processing concepts and industrial sensor data.
• Ability to read and apply insights from academic literature in condition monitoring.
• Experience designing experiments to validate hypotheses and benchmark models.
• Strong problem-solving skills and ability to handle noisy, high-dimensional data.

🎁 Benefits

• Remote-friendly team with collaboration across global offices.
• Opportunities to work on cutting-edge industrial ML research.