GIS Remote Sensing Specialist at Rainforest Alliance

Position summary:
At the Rainforest Alliance, we are looking for a collaborative and results-oriented Geographic Information Systems (GIS) Remote Sensing specialist to strengthen our team in providing spatial analytics and geo-oriented support. It also includes supporting Senior GIS officers and managers with the development of a wide range of geo-data-oriented products, services and analyses for internal and external stakeholders.
Role includes Machine Learning development and AI satellite analytics. This position will not only work closely with the GIS team but also with the Technology team to maintain ArcGIS Enterprise for Kubernetes and other GIS applications/services in the geo-ecosystem.
Responsibilities: 

• The Rainforest Alliance’s Core Values are Impact, Change, Collaboration, Openness and Trust and as such they form the basis of the behaviours we demonstrate.
• Develop, organize and have ownerships of Remote Sensing projects. Perform AI satellite Imagery analysis, develop Machine Learning methodology and Large Language Models on a variety of topics.
• Contribute to the collection, analysis, updating, and distribution of geodata-oriented information and materials.
• Validate and analyse GIS data, and produce dashboards and (web)maps for internal projects and initiatives
• Assist the sector leads in providing analytics/information to internal and external stakeholders.
• As appropriate undertake and or direct fieldwork data collection and analysis to support GIS model development
• Contribute to GIS data maintenance and processing to support owners/stewards and ensure data are well-versioned, documented and stored in the system.

Qualifications: 

• Minimum 5 years’ experience in GIS with a focus in quantitative analytics in a distributed (enterprise) environment, ideally ArcGIS; or master’s degree with 5+ years of experience, in Climatology, Soil- and vegetation science, Biodiversity, land-water management, agroeconomics, , or related field.
• Specialist in LIDAR and Hyperspectral Satellite technology, Google Earth Engine (GEE) and AI satellite analysis and related remote sensing and analysis techniques. Experience Large Language Models is a plus.
• Strong experience in spatial analytics, preferably in a ArcGIS or QGIS environment, and Python scripting.
• Experience with (geo)data management/processes, Gdb administration and metadata management in an ArcGIS Enterprise, ArcGIS Online environment and their associated extensions, APIs or interfaces
• Ability to organise and manage data and have a good knowledge of Excel and the metadata implementation in ArcGIS.
• Ability to understand and analyse data in various formats, aggregate information and report on trends and findings.
• Ability to work in a cross-functional, multi-cultural team with members in different parts of the world.
• Strong personal ethics and integrity and commitment to upholding the rules and values of the Rainforest Alliance; an accurate, analytical, quality-conscious attitude is a must have.
• Fluency in English is a mandatory requirement.