Senior Earth Observation Scientist

Summary

Join SkyForest, a pioneering company striving for a sustainable planet, as a Senior Earth Observation Scientist. You will lead the development of a machine learning model for wildfire risk, utilizing advanced remote sensing techniques and Earth observation data. This role demands innovation, extensive EO science experience, and creative application of EO data for forest and wildfire risk insights. You will collaborate with cross-functional teams on research projects, stay updated on Earth observation advancements, and contribute to methodological improvements. The position offers a remote opportunity with a competitive salary and benefits package, flexible time off, and opportunities for professional growth within a dynamic and innovative team.

Requirements

• Master's degree or equivalent in Remote Sensing, Geospatial Science, Physical Geography, or a related field
• Proven innovation experience in remote sensing of ecological systems
• Machine Learning experience with models trained on SAR and optical satellite data. Some expertise in ML pipelines, including creating models, cleaning data, A/B testing, the ability to test a model to see if it works, understanding explainable AI and some theoretical understanding of the basis of the models
• Expertise in optical and SAR, image processing, pattern recognition, image classification and feature extraction, application of statistical methods for spatial analysis
• Strong proficiency in remote sensing software (e.g., ENVI, ArcGIS) and programming languages including Python for image processing and analysis and proficiency in R programming
• Expertise in developing and implementing algorithms for change detection

Responsibilities

• Develop machine learning models related to wildfire and forest fires based on Earth Observation data
• Utilize advanced remote sensing techniques to process and analyze multispectral time-series of optical data and synthetic aperture radar data for comprehensive monitoring
• Develop and implement cutting edge algorithms for feature extraction, classification, and change detection, extracting meaningful insights from Earth observation data
• Lead the seamless integration of optical and SAR data to provide a holistic understanding of forest structure, health, and dynamics
• Collaborate with cross-functional teams to design and execute research projects aimed at addressing environmental challenges
• Stay at the forefront of the latest developments in Earth observation technologies, actively contributing to the continuous improvement of our methodologies
• Additional duties as assigned

Benefits

• Competitive compensation, full benefits and flexible time off
• Continuous employee growth and development including training from leading experts in the field in advanced topics spanning remote sensing to cloud-native architecture
• Great work environment and team with a head office location in Vancouver
• Flexible working hours with work from home opportunities made to fit your life