Data Scientist

Job Description

REQUIREMENTS

• 4+ years in machine learning engineering or applied data science
• Strong Python skills with pandas, scikit-learn, XGBoost/LightGBM, and MLflow
• Experience with time-series data, anomaly detection, and predictive maintenance modeling
• Understanding of model deployment patterns including registry, versioning, and A/B testing
• Background in statistical process control or reliability engineering preferred

RESPONSIBILITIES

• Build and maintain ML pipelines for predictive maintenance, including model training, drift detection, and retraining triggers
• Develop analytics backend for industrial equipment monitoring with probability calibration and adaptive thresholding
• Implement champion/challenger evaluation frameworks with shadow scoring and A/B testing
• Engineer physics-informed features and maintain data quality pipelines for time-series sensor data
• Produce accuracy reports and analyze prediction outcomes by equipment family and fault type

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