GIS Engineer with ML Experience

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