Analyst III, Data Science – Remote Sensing

Job not on LinkedIn

🔥 16 hours ago

🇺🇸 United States – Remote

💵 $85k - $94k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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American Forest Foundation

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1941

🤲 Charity

🌾 Agriculture

💰 Grant on 2022-09

Charity • Environment • Agriculture

American Forest Foundation is a conservation organization dedicated to empowering family forest owners to improve forest health and address climate change. Through partnerships, advocacy, and support tools, they aim to increase carbon storage and support rural communities. Their mission involves delivering conservation impact by unlocking the potential of America's family forests, tackling climate challenges, and supporting sustainable forestry practices. The organization also engages in philanthropy and is pioneering initiatives like the U. S. nature-based carbon credit auction to foster transparency and efficiency in carbon credit markets.

📋 Description

• Design, execute, validate, and document advanced statistical, geospatial, and remote sensing analyses • Develop reproducible analytical workflows and production-quality code in R and related scientific computing environments • Conduct analyses supporting baseline development, leakage assessment, and permanence and durability approaches • Integrate and analyze large datasets from remote sensing platforms, field inventories, program operations, environmental datasets, and literature • Evaluate machine learning and AI technologies for scientific workflows and monitoring systems • Collaborate with scientists, program staff, and external partners to translate questions into rigorous analytical approaches • Document and communicate methods, assumptions, uncertainties, and findings to technical experts and organizational leadership • Contribute to innovation, efficiency, and scientific advancement across 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 discipline • Minimum 3-6 years of professional or postdoctoral experience conducting advanced quantitative analyses in environmental, natural resource, climate, forestry, conservation, or related sectors • Strong proficiency in R, Python, or equivalent scientific computing environments • Strong foundation in statistical modeling, predictive analytics, uncertainty quantification, and applied data science • Experience working with large geospatial and remote sensing datasets • Expertise using GIS and spatial analysis tools • Experience developing and maintaining reproducible analytical workflows and well-documented codebases • Experience designing analytical approaches for complex scientific or operational questions • Strong technical writing skills • Ability to communicate complex analytical results to technical and non-technical audiences • Experience collaborating across multidisciplinary teams and managing multiple concurrent projects • Experience with cloud-based analytical environments such as AWS, Azure, or Google Earth Engine

🏖️ Benefits

• Flexible work environment that respects your life outside of work • Comprehensive and competitive benefits package • Opportunity to work with colleagues, partners, and landowners on landscape-scale conservation impacts • Equal opportunity employer committed to a diverse work environment