Company Description
SpaceCrop is a climate intelligence infrastructure company focused on helping agriculture adapt and thrive in a changing climate. The organization uses GeoAI, remote sensing, and predictive modeling to provide data-driven insights for sustainable farming and resource management. By combining advanced geospatial technologies with climate science, SpaceCrop supports stakeholders in improving agricultural performance and resilience.
Team members contribute to tools and solutions that enable more informed decisions for growers, agribusinesses, and policymakers. The company values innovation, sustainability, and collaboration across disciplines.
Role Description
This is a part-time remote role for a Remote Sensing Analyst.
The Remote Sensing
Analyst will process and analyze satellite and geospatial imagery to generate insights related to crop performance, climate impacts, and resource use. Daily tasks include collecting, cleaning, and validating geospatial datasets; applying remote sensing techniques and models; and supporting the development of GeoAI and predictive modeling workflows. The role involves collaborating with data scientists and agronomy experts to translate analytical outputs into actionable recommendations for agricultural stakeholders. The analyst will also document methodologies, prepare visualizations and reports, and contribute to continuous improvement of data pipelines and analytical tools.
Qualifications
Candidates should possess skills in remote sensing and geospatial analysis, including experience with satellite imagery, GIS tools (e.g., QGIS, ArcGIS), and raster/vector data processing.
Candidates should possess skills in data analysis and programming, such as proficiency in Python or R, handling large datasets, and implementing basic statistical or machine learning techniques.
Candidates should possess skills in climate and agricultural domain understanding, including familiarity with crop monitoring, environmental variables, and sustainable agriculture concepts.
Candidates should possess skills in visualization and communication, including the ability to create clear maps, charts, and reports and to explain technical findings to non-technical audiences.
Candidates should possess strong problem-solving abilities, attention to detail, and the capacity to work independently in a remote, part-time setting.
Relevant qualifications include a degree or coursework in remote sensing, geoinformatics, environmental science, agriculture, data science, or a related field, along with prior experience in geospatial or climate-related projects.
How to Apply
Send your CV to
[email protected] with heading, "Remote Sensing Analyst"