Data Scientist Jobs

About The Position

Requirements

• Strong geospatial data science background, with demonstrated experience working with spatial data, coordinate systems, and geospatial analysis techniques.
• Experience working with earth observation data, such as electro-optical or synthetic aperture radar (SAR) data.
• Some computer vision experience, such as object detection or classification applied to imagery.
• Strong Python skills and practical experience with the machine learning lifecycle, including predictive modeling, classification, evaluation, and iteration.
• Comfort working independently, thinking through ambiguous problems, and explaining reasoning and approach to others.

Nice To Haves

• Experience working with AIS (vessel-tracking) data.
• Familiarity with GCP (BigQuery, Vertex AI) or equivalent cloud data platforms.
• Experience with geospatial tooling and libraries such as QGIS, GDAL, or GeoPandas.
• Experience with PyTorch, scikit-learn, or similar machine learning frameworks.
• Background in maritime, defense, intelligence, or energy domains.

Responsibilities

• Develop and improve geospatial models and pipelines that fuse AIS data with optical and SAR satellite imagery to detect vessel behavior, anomalies, and deceptive activity at sea.
• Apply computer vision techniques to satellite imagery for vessel detection, classification, and attribution.
• Work with large-scale geospatial and time-series datasets, including AIS tracks, imagery, and vessel metadata, to build and validate detection and prediction models.
• Take models from prototype through production, working with engineering to deploy them on GCP.
• Investigate new data sources and methods to close gaps in maritime domain awareness.
• Communicate findings and model behavior clearly to technical and non-technical stakeholders, including customers.
• Collaborate with Theia's data science and engineering teams on shared infrastructure, data pipelines, and tooling.