1. The Principal Data Scientist will lead Data Science for Asset Reliability and Cognition portfolio to innovate and mature prognosis models for industrial equipment’s, models to optimize maintenance strategies, and reduce operational risk.
2. This role requires a blend of machine learning expertise, reliability engineering knowledge, and oil & gas domain experience to drive measurable impact across critical assets.
3. Also required is a customer-oriented focus by acknowledging their needs and offering pragmatic customer solutions that align with their data capabilities.

Key Responsibilities

1. Predictive maintenance: Design and deploy ML models to forecast equipment failures and optimize maintenance schedules.
2. Digital twin development: Build hybrid AI + physics-based models to simulate asset health and performance.
3. Advanced anomaly detection: Implement deep learning and unsupervised methods for early detection of vibration, corrosion, and fouling.