Analyst III, Data Science – Remote Sensing

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, implement, validate, and document complex statistical, geospatial, and remote sensing analyses.

• Create reproducible analytical workflows and production-quality code using R and other scientific computing environments.

• Perform analyses that support baseline development, leakage assessment, as well as permanence and durability strategies.

• Integrate and analyze extensive datasets sourced from remote sensing platforms, field inventories, program operations, environmental datasets, and relevant literature.

• Assess machine learning and AI technologies for enhancing scientific workflows and monitoring systems.

• Collaborate with scientists, program staff, and external partners to effectively translate inquiries into robust analytical methodologies.

• Document and convey methods, assumptions, uncertainties, and outcomes to technical experts and organizational leadership.

• Contribute to innovation, efficiency, and scientific progress aligned with AFF’s strategic priorities.

⛳️ Requirements

• Advanced degree (M.S. or Ph.D. preferred) in forestry, ecology, natural resources, environmental science, statistics, geography, remote sensing, data science, or a related quantitative field.

• A minimum of 3-6 years of professional or postdoctoral experience in conducting advanced quantitative analyses within the environmental, natural resource, climate, forestry, conservation, or similar sectors.

• Strong expertise in R, Python, or comparable scientific computing environments.

• Solid foundation in statistical modeling, predictive analytics, uncertainty quantification, and applied data science.

• Experience in working with large geospatial and remote sensing datasets.

• Proficiency in utilizing GIS and spatial analysis tools.

• Experience in developing and maintaining reproducible analytical workflows and well-documented codebases.

• Experience in designing analytical strategies for intricate scientific or operational inquiries.

• Strong technical writing capabilities.

• Ability to convey complex analytical results to both technical and non-technical audiences.

• Experience collaborating within multidisciplinary teams and managing multiple concurrent projects.

• Familiarity with cloud-based analytical environments such as AWS, Azure, or Google Earth Engine.

🏝️ Benefits

• Flexible work environment that values your personal life outside of work.

• Comprehensive and competitive benefits package.

• Opportunity to collaborate with colleagues, partners, and landowners on landscape-scale conservation initiatives.

• Equal opportunity employer dedicated to fostering a diverse workplace.