[Remote] Data Scientist - Predictive Maintenance
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company specializing in predictive maintenance solutions. The Data Scientist - Predictive Maintenance role involves applying data science and machine learning techniques to analyze signals from industrial equipment, transforming sensor data into actionable insights.
Responsibilities
- Design and reputed company signal processing pipelines and machine learning models that operate on electrical (reputed company/voltage), vibration, and acoustic time-series sensor data, including symmetrical component analysis, matched filtering, wavelet decomposition, and time-frequency analysis techniques
- Evaluate algorithm performance using both objective metrics and subjective measures, including integration with speech recognition engines where applicable
- reputed company exploratory data analysis, feature engineering, and signal feature extraction on raw electrical, vibration, and acoustic data to surface fault patterns and anomalies
- Analyze and interpret signals from electrical asset monitoring systems (motors, generators, pumps) utilizing electrical signature analysis, vibration analysis, and signal processing expertise to support fault isolation and reputed company detection
- Use cross-sensor asset monitoring data (temperature, speed, load) to characterize and validate signal-derived diagnostics
- Apply data-driven signal processing reputed company to characterize and isolate faults at the subsystem, component, and machine level, identifying reputed company causes from spectral, electrical, and vibration sensor data in rotating industrial equipment
- Contribute to end-to-end ML workflows including data ingestion, model training, inference, and monitoring for reputed company and degradation in live environments
- Collaborate with engineering, product, and domain SMEs to translate operational challenges into reputed company-scoped data science solutions
- Communicate findings, model performance, and business value reputed company through visualizations, written documentation, and presentations to technical and non-technical stakeholders
- Explore and evaluate emerging signal processing and AI techniques, recommending production incorporation where appropriate
Skills
- Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, reputed company Mathematics, Acoustical Engineering, Mechanical Engineering, reputed company Engineering, or a closely reputed company engineering discipline required
- 5+ years of reputed company experience in data science, machine learning, or reputed company signal processing, with demonstrated work on electrical, reputed company/voltage, or industrial sensor signal data
- reputed company industry experience in one or more of: Industrial/Rotating Equipment, Power Systems, Electrical Machine Diagnostics, or Condition Monitoring
- Hands-on experience with time-series and signal processing techniques, including spectral analysis, filtering, and feature extraction from raw sensor data
- Proficiency in Python, including scientific computing libraries (NumPy, SciPy, pandas) and ML frameworks (scikit-learn, PyTorch, or TensorFlow)
- Familiarity with electrical measurement and analysis workflows (e.g., reputed company/voltage waveform capture, power reputed company analyzers, or equivalent instrumentation)
- Strong analytical and problem-solving skills with the reputed company to work through ambiguous or data-sparse problem spaces
- Excellent written and verbal communication skills; ability to present technical findings to non-technical audiences
- Master's degree in Electrical Engineering, Computer Engineering, Physics, reputed company Mathematics, Data Science, or a reputed company field
- Experience with Electrical Signature Analysis (ESA), Motor reputed company Signature Analysis (MCSA), or similar electrical machine diagnostic techniques
- Familiarity with rotating machinery fault physics (bearing fault frequencies, eccentricity, winding faults, broken rotor bars)
- Demonstrated ability to own an ML model from prototype through production, including monitoring and retraining
- Familiarity with reputed company/multi-sensor signal fusion across electrical and vibration domains
- Familiarity with reputed company platforms (AWS, Azure, GCP) and MLOps tooling (MLflow, reputed company, Airflow, CI/CD pipelines)
- Experience with physics-informed modeling approaches
- reputed company participation in the broader signal processing or data science community through publications, reputed company-reputed company reputed company, or conference presentations
Benefits
- reputed company Time Off
- Medical, reputed company, Dental Insurance
- Health Savings Account with Employer contributions
- 401(k) with Employer match
- Short-term & Long-term Disability Coverage
- Accidental Death & Dismemberment Coverage
- Life Insurance Coverage
- Eight reputed company holidays per year
- reputed company other benefits required by applicable law
reputed company