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EarthDaily Analytics

Senior Earth Observation Scientist

Posted 14 Days Ago
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In-Office
Vancouver, BC
Senior level
In-Office
Vancouver, BC
Senior level
Lead the development of machine learning models for wildfire risk using Earth observation data, collaborating on research projects and advancing monitoring capabilities.
The summary above was generated by AI

OUR VISION 
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. The EarthDaily Constellation will combine with the EarthPipeline data processing system to provide unprecedented, scientific-grade data of the world every day, positioning SkyForest to meet the growing needs of our customers.

OUR TEAM 
Our SkyForest team, specializing in technologies tailored for forestry applications, including wildfire monitoring, forest carbon assessment, and tracking tree growth, is seeking an exceptional Senior Earth Observation Scientist to join our crew!
READY TO LAUNCH? 
As a Senior Earth Observation Scientist, you will be responsible for leading the development of a machine learning model for wildfire risk. This role requires an innovator with extensive experience as an EO scientist and a keen ability to apply EO data creatively for fresh insights into forests and wildfire risk. 
PREPARE FOR IMPACT! 
As a Senior Earth Observation Scientist, you will be joining a dynamic team to guide development efforts, advancing our environmental monitoring capabilities and impactful projects. 
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

YOUR PAST MISSIONS (AKA Experience) 
  • 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

YOUR TOOLKIT (AKA Skills and Knowledge) 
  • 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.

YOUR COMPENSATION
Base Salary Range: $120,000-$140,000 CAD annually
The compensation range provided is determined by several factors, including job-related skills, experience, training, education, location, and business needs. This range reflects market data for Vancouver, BC and surrounding regions. Consideration for compensation at a higher end of the range will be given only to candidates who demonstrate exceptional qualifications and a proven track record of success relative to the position. 
OUR SPACE 

We’d love to welcome you to our SkyForest team for this remote opportunity. Ours is a fun, fast-paced and exciting work environment where we hold earth-smart (living sustainable), creativity and innovation, proactive communication, diversity, and accountability as our core values. Our SkyForest team is as innovative as the satellites we serve. And just like space exploration - we're constantly evolving and pushing new technology boundaries.
Hours of work typically fall between 9:00am and 5:30pm Monday to Friday with periodic cross-over work required with other team members across a few times zones in addition to occasional evening and weekend work.
WORKING ENVIRONMENT
  • Fully cloud-native architectures
  • Use of the latest advancements in computer vision and machine learning
  • Occasional overtime
  • Travel less than 4 times per year may be required

WHY SKYFOREST? 
  • 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

Top Skills

Arcgis
Envi
Machine Learning
Python
R
Remote Sensing

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