Data Scientist - Predictive Maintenance

Job Summary

To support predictive maintenance initiatives, the full-time salaried Data Scientist - Predictive Maintenance will apply data science and machine learning techniques to analyze electrical, vibration, and acoustic signals, transforming raw sensor data into actionable insights while working remotely.

Key Responsibilities

• Design and develop signal processing pipelines and machine learning models for time-series sensor data analysis
• Perform exploratory data analysis and feature engineering to identify fault patterns and anomalies in industrial equipment
• Collaborate with engineering and domain experts to translate operational challenges into effective data science solutions

Required Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, or a closely related field
• 5+ years of experience in data science, machine learning, or applied signal processing with industrial sensor data
• Hands-on experience with time-series and signal processing techniques, including spectral analysis and feature extraction
• Proficiency in Python and relevant scientific computing libraries and ML frameworks
• Direct industry experience in Industrial/Rotating Equipment or Electrical Machine Diagnostics