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.