Remote Sensing GIS Analyst

Anew Climate is seeking a Remote Sensing GIS Analyst to join its forest carbon geospatial team in Seattle, WA. The role involves evaluating and monitoring forest carbon projects, focusing on forest harvest detection and biomass change quantification. Key responsibilities include designing remote sensing models, managing GIS data, and conducting analyses using tools like ArcGIS and Python. Candidates should have at least 2 years of GIS experience, a Master’s degree in natural sciences, and proficiency in machine learning applications.
General Summary: Anew seeks a GIS professional to support the forest carbon geospatial team in evaluating, executing, and monitoring forest carbon projects, with a focus on forest harvest detection and biomass change quantification. Responsibilities include designing remote sensing models, managing GIS data, producing maps, conducting forest monitoring using remote sensing, and analyzing carbon biomass. The role also involves supporting offset projects, documenting processes, producing marketing materials, and meeting strict deadlines. This is an exciting opportunity to make a significant impact in the forest carbon market.

Primary Responsibilities and Competencies:
• Specify remote sensing models to classify forest types, detect forest harvests, and quantify biomass change.
• Integrate machine learning and AI methods such as neural networks, deep learning, or support vector machines to improve accuracy and scalability of models and processes
• Support mapping and remote sensing efforts for forest carbon offset projects
• Collect and synthesize data related to ongoing and planned forest carbon projects
• Support modeling of forest carbon projects using ArcGIS, Python, R, or Google Earth Engine
• Perform statistical analyses and GIS database management of forest inventories
• Draft carbon project modeling documentation
• Maintain project timelines and meet strict deadlines
• Less than 10% travel is required, primarily to team events and/or conferences

Required Education, Experience and Certification:
• At least 2 years of experience in a GIS related occupation
• Master’s degree or higher in natural sciences
• Experience with application of machine learning algorithms (e.g., Random Forest, XGBoost, etc.) for land cover classification, biomass change estimation, and harvest detection
• Proficiency in coding/scripting using R and/or Python and/or Google Earth Engine
• Experience in the application of different remote sensing programs
• Advanced proficiency with ArcGIS mapping and analysis
• Highly self-motivated and has the ability to work both independently and in a collaborative team setting
• Strong written and verbal communication skills
• Expertise in project management and demonstrated ability to coordinate among various stakeholders
• Strong interest in climate change and environmental issues

Preferred Education, Qualifications & Experience:
• PhD degree in natural sciences
• More than 2 years of experience in a forestry- or natural science related occupation
• Demonstrated application of machine learning and AI techniques
• Advanced proficiency using Lidar, SAR, and other datasets
• Advanced proficiency in forest harvest detection and biomass change models
• Familiarity with voluntary/compliance forest carbon protocols in North America
• Experience using databases, including experience using SQL (Structured Query Language) to query databases, analyze data, and create reports

Skills:
• Advanced programming skills
• Advanced Remote Sensing Skills
• Experience cleaning and wrangling data
• Skilled in spatial analyses
• Experience working and communicating in a team environment
• Experience producing GIS marketing materials
• Highly self-motivated