13 дней назад
Senior Geospatial Data Scientist (Satellite Imagery)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Geospatial Data Scientist (Satellite Imagery): Building geospatial models and pipelines that fuse satellite imagery, AIS, and other data sources to detect and predict maritime activity with an accent on computer vision, earth observation data, and machine learning. Focus on taking vessel detection and attribution models from prototype to production on GCP, investigating ambiguous maritime signals, and clearly explaining model behavior.
Location: London, United Kingdom or Washington, DC
Company
is a geospatial intelligence company that combines multi-sensor satellite imagery, vessel-tracking signals, machine learning models, and analyst expertise to produce intelligence for maritime and energy domains.
What you will do
- Develop geospatial models and pipelines that fuse AIS data with optical and SAR satellite imagery.
- Build detection, classification, prediction, and attribution models for vessel behavior, anomalies, and deceptive activity.
- Work with large-scale geospatial and time-series datasets, including AIS tracks, imagery, and vessel metadata.
- Take models from prototype through production and collaborate with engineering to deploy them on GCP.
- Investigate new data sources and methods for maritime domain awareness.
- Explain findings and model behavior to technical and non-technical stakeholders, including customers.
Requirements
- Strong background in geospatial data science, spatial data, coordinate systems, and geospatial analysis.
- Experience working with earth observation data, including electro-optical or synthetic aperture radar imagery.
- Computer vision experience with object detection or classification applied to imagery.
- Strong Python skills and practical experience with predictive modeling, classification, evaluation, and iteration.
- Ability to work independently, reason through ambiguous problems, and communicate technical approaches clearly.
Nice to have
- Experience with AIS vessel-tracking data.
- Familiarity with GCP, BigQuery, Vertex AI, or equivalent cloud data platforms.
- Experience with QGIS, GDAL, GeoPandas, PyTorch, scikit-learn, or similar tools.
- Background in maritime, defense, intelligence, or energy domains.
Culture & Benefits
- Collaborate with data science and engineering teams on shared infrastructure, data pipelines, and tooling.
- Work on products used by commercial energy traders, financial institutions, government agencies, and defense and intelligence organizations.
- Join an organization of approximately 130 people across Houston, London, and Washington, D.C.
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