Data Scientist
Core
Transform and analyze large-scale sensor and geospatial datasets to calibrate and improve physics-based engineering models for vessel performance, soil behavior, and production rates.
Role type
Data Scientist (Hybrid ML & Physics-based Modeling)
Builds
Data-driven predictive models for dredging, offshore energy, and marine infrastructure projects
Domain
Marine infrastructure, offshore energy, dredging, geotechnics, hydrodynamics
Deliverable
production ML models
Required skills
Python, SQL, data cleaning and structuring, probabilistic modeling, database design, geospatial analysis, statistical methods
Preferred skills
Machine learning, physics-based modeling, sensor data analysis, reproducible analysis pipelines
Technologies
Python, SQL, spatial data storage
Responsibilities
Clean and structure large engineering datasets (sensor and geospatial), develop models to predict vessel performance and fuel consumption, challenge and improve traditional engineering models with data, build and improve databases and data pipelines, collaborate with multidisciplinary engineering teams
Seniority
Junior to Mid-level, hands-on IC