
Data Scientist Geospatial Position
4 days ago
Geospatial Data Scientist Role
We are seeking a highly skilled Geospatial Data Scientist to join our team. As a Senior Data Scientist on the Geospatial AI team, you will design, build, and optimize machine learning models that generate critical insights from massive geospatial datasets.
Key Responsibilities:
- Develop end-to-end machine learning solutions for geospatial data, including object detection, semantic segmentation, and spatial-temporal forecasting.
- Collaborate with researchers, engineers, and product teams to integrate high-impact ML solutions into the xMap platform.
- Work with diverse geospatial data sources, such as satellite imagery, mobility data, and sensor feeds, to refine data ingestion, cleaning, and feature engineering processes.
- Partner with software engineers to incorporate novel AI algorithms into the xMap platform, ensuring solutions scale and perform reliably for enterprise customers.
- Drive insight generation through advanced geospatial analysis, anomaly detection, and scenario modeling to address real-world problems in real estate, infrastructure, or municipal planning.
Requirements:
- 5+ years of professional experience in data science or machine learning, with a strong focus on geospatial analytics.
- Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn); familiarity with geospatial libraries (e.g., GeoPandas, GDAL, PostGIS).
- Demonstrated success building and deploying geospatial ML solutions, such as object detection on satellite imagery, route optimization, population density forecasting.
- Experience with Generative AI or large-scale AI deployments is a significant plus.
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