Full-Time Senior Geospatial Data Scientist

• Develop and implement advanced geospatial and machine learning models to analyze agricultural datasets.
• Design, build, and maintain scalable, cloud-enabled large data pipelines.
• Perform statistical analysis and data mining to uncover spatial and temporal trends.
• Engineer innovative features from remote sensing data.
• Deliver high-quality, documented code for geospatial data processing using Python.
• Translate analytical results into practical recommendations.
• Stay current with advancements in geospatial technologies and machine learning.
• Contribute to technical reports, scientific publications, and presentations.
• Collaborate closely with interdisciplinary teams.

• Master’s degree in Geographic Information Science, Remote Sensing, Computer Science, Data Science, or a related field.
• 5+ years of experience in satellite and geospatial data analysis and modeling.
• Proficiency in Python programming, with experience in geospatial libraries.
• Expertise in machine learning for earth observation applications.
• Experience with geospatial foundation models.
• Experience with version control systems (e.g., Git).
• Experience leveraging generative AI tools.

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

• PhD in a relevant field.
• Familiarity with agronomy concepts and agricultural systems.
• Expertise in deep learning techniques.
• Experience with cloud-based geospatial processing and big data technologies (e.g., Google Earth Engine, Spark).

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