We are seeking a highly skilled and experienced Lead Remote Sensing Engineer to lead the development and implementation of our remote sensing solutions for our MRV (Measure, Report, and Verify) decarbonization platform. In this role, you will be at the forefront of our efforts to utilize satellite imagery and remote sensing technologies to promote sustainable farming practices, reduce carbon emissions, and enhance the accuracy of our agricultural monitoring systems.
Responsibilities:
Lead the design, development, and deployment of remote sensing systems and methodologies for the MRV decarbonization platform
Work closely with engineering and operations teams to understand requirements and translate them into effective mapping and visualization solutions
Develop algorithms and models to analyze satellite imagery and other remote sensing data for agricultural monitoring and carbon measurement
Create interactive and visually engaging maps and visualizations to illustrate agricultural activities and carbon emissions
Utilize GIS tools and techniques to generate accurate and detailed maps, integrating real-time data for dynamic representation
Ensure remote sensing processes and outputs accuracy, reliability, and scalability
Provide technical leadership and mentorship to junior remote sensing engineers and other team members
Work closely with domain experts, such as soil scientists and carbon market specialists, to ensure the integrity and applicability of remote sensing data
Develop and implement the best remote sensing data acquisition, processing, and analysis practices
Communicate complex remote sensing concepts and findings to internal and external stakeholders effectively
Ideal Profile
You possess a Bachelors degree or Master s in Remote Sensing, Geospatial Science, Environmental Science, Computer Science, or a related field
You have at least 7 years of experience in remote sensing, with a proven track record of leading remote sensing projects
You have strong expertise in satellite imagery analysis, remote sensing data processing, and GIS technologies
You have proficiency in programming languages commonly used in remote sensing, such as Python and R
You have Extensive knowledge of GIS principles, mapping libraries (e.g., Mapbox, Leaflet), and data visualization tools (e.g., D3.js, Tableau)
You possess strong software engineering practices and a background in Python programming, debugging/profiling, version control, and system design
You are experienced with APIs and integrating data from various sources
You have hands-on experience with at least one cloud provider, such as GCP, AWS, or Azure
You are familiar with machine learning techniques and their application to remote sensing data
You have strong problem-solving skills and the ability to develop innovative solutions for complex challenges
You have excellent communication and leadership skills, with the ability to work collaboratively in a cross-functional team environment
You have a passion for sustainability, agriculture, and leveraging technology to drive positive environmental and social impact
Employment Type: Full Time, Permanent
Functional Areas: Analytics & Business Intelligence