Applied data scientist
Core
Build physical and data-driven models of vessel assets to detect anomalies and predict maintenance needs for commercial fleets.
Role type
Applied data scientist (physics-informed ML & predictive maintenance)
Builds
Predictive maintenance features and monitoring dashboards for commercial shipping fleets
Domain
Maritime shipping, predictive maintenance, physics-informed machine learning
Deliverable
production ML models | product features
Required skills
applied mathematics, fluid dynamics, thermodynamics, control theory, anomaly detection, time series analysis, Python, AWS, React
Preferred skills
predictive maintenance, condition-based monitoring, maritime domain experience, digital twins, physics-informed ML, edge computing
Responsibilities
Build physical and data-driven models of vessel assets; detect deviations from expected behavior; clean and validate noisy sensor data; deploy models to production on AWS; build React interfaces for results; collaborate with UX designers and full-stack developers.
Seniority
Mid-level, hands-on IC