EarthDaily
Senior Earth Observation Scientist
EarthDaily
CAD120k - CAD140k
Worldwide (Remote)
Python
R
ENVI

Senior Earth Observation Scientist

Overview

SkyForest is a pioneering company, owned by EarthDaily Analytics (EDA), that strives to build a more sustainable planet by creating innovative solutions that combine satellite imagery of the Earth, modern software engineering, machine learning, and cloud computing to solve the world’s toughest challenges in wildfire and forest intelligence.

Job Description

SkyForest is a pioneering company, owned by EarthDaily Analytics (EDA), that strives to build a more sustainable planet by creating innovative solutions that combine satellite imagery of the Earth, modern software engineering, machine learning, and cloud computing to solve the world’s toughest challenges in wildfire and forest intelligence. The Company's signature Earth Observation mission, the EarthDaily Constellation (EDC), is currently under construction. The EDC will be the most powerful global change detection and change monitoring system ever developed, capable of generating unprecedented predictive analytics and insights.

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

Required Skills

  • - 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

Benefits

  • - Competitive compensation, full benefits and flexible time off
  • - Be part of a meaningful mission as part of one of Canada’s most innovative space companies that are developing sustainable solutions for our planet
  • - 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

About the company

EarthDaily Analytics (EDA) is a Canadian company with headquarters in Vancouver, British Columbia, providing evidence-based, actionable insights for addressing some of the world's greatest challenges, from sustainable agriculture and disaster management to climate change monitoring and forestry protection, among many others.


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