Full-Time Senior Geospatial Data Scientist

• 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 using Python.
• Translate 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.
• Maintain technical leadership in geospatial technologies and machine learning.
• Contribute to technical reports and scientific publications.
• Collaborate with interdisciplinary teams.

• Master's or PhD in Geographic Information Science, Remote Sensing, Computer Science, Data Science, or related field.
• Minimum of 5 years of experience in satellite and geospatial data analysis and modelling.
• Strong proficiency in Python programming with geospatial libraries.
• Expertise in machine learning and deep learning techniques.
• Experience with cloud-based geospatial processing and big data technologies.
• Experience leveraging geospatial foundation models.
• Experience with version control systems and collaborative software development practices.
• Experience leveraging generative AI tools.

• Excellent written and verbal communication skills in English.
• Strong analytical and problem-solving skills.
• Familiarity with agronomy concepts and agricultural systems is a plus.

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