We’re looking for a mission-driven GIS Engineer with Machine Learning experience to join our R&D function and innovate geospatial solutions with our analytics team.
Specific responsibilities will include:
• Working with analytics teams to design and leverage a range of geospatial data into providing greater insights into carbon offset project quality
• Researching geospatial solutions with the understanding of when different solutions are appropriate for the needs of the rating framework
• Bringing a quantitative mindset to the design of our monitoring framework
• Contributing to the ongoing efforts to automate key analytics
• Working with the GIS production to scale proof-of-concept solutions
• Integrating machine learning models with geospatial data pipelines
• Those who are successful will progress quickly, either as individual contributors or following a management path.
We’re looking for someone who has:
• 2-5 years experience in a Geospatial Data Scientist or GIS Engineer role
• Has experience manipulating raster and vector data with Python
• Is comfortable using desktop GIS applications such as QGIS, ArcMap
• Has familiarity with data acquisition using APIs and Google Earth Engine
• Has applied their skills to solve a wide range of problems using Machine Learning techniques
• Cares deeply about the climate and ecosystems of earth
• Is a self-starter who thrives in constantly evolving environments, ideally with early-stage start-up experience
• Has a positive attitude when it comes to problem-solving
• Has a pragmatic approach to getting things done
You are applying for GIS Engineer with ML Experience.