Full-Time Senior Geospatial Data Scientist

Accountabilities

• Develop and implement advanced geospatial models and machine learning algorithms.
• Design and maintain scalable data processing pipelines.
• Lead statistical analysis and data mining initiatives.
• Deliver high-quality, well-documented code for geospatial data processing using Python.
• Translate complex geospatial insights into practical recommendations.
• Pioneer innovative approaches for feature extraction from remote sensing data.
• Implement cloud-based solutions for large-scale geospatial data processing and analysis.
• Maintain technical leadership.
• Contribute to technical reports, scientific publications, and presentations.
• Collaborate effectively with interdisciplinary teams.

Critical Knowledge & Experience

• Advanced degree in Geographic Information Science, Remote Sensing, Computer Science, Data Science, or related field with geospatial focus.
• 5+ years of experience in geospatial data analysis and machine learning, preferably in agricultural or environmental contexts.
• Strong Python programming skills with expertise in geospatial libraries (GeoPandas, Rasterio).
• Demonstrated proficiency in applying machine learning and deep learning techniques to geospatial problems.
• Expert knowledge of GIS software (ArcGIS, QGIS) and geospatial databases.
• Proven experience working with diverse geospatial data formats including satellite imagery, LiDAR, and vector data
• Experience with cloud-based geospatial processing platforms (Google Earth Engine, AWS, Azure)
• Proficiency with version control systems (Git) and collaborative software development practices.
• Experience leveraging generative AI tools to optimize geospatial workflows and enhance productivity
• Knowledge of geospatial foundation models and their applications.

Skills

• Excellent written and verbal communication skills in English.
• Strong analytical and problem-solving skills.

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