Geospatial Data Scientist
CollectiveCrunch is an AI leader in the forest industry. We collect climate, geo, and satellite data and crunch this information into AI models for better prediction of forest inventories, forest risks and carbon storage.
The Position
As Geospatial Data Scientist, you will analyse forests with remote sensing data and machine learning algorithms. Use cases include biomass/carbon estimation, change monitoring, damage detection, and land cover analysis. This is a great opportunity to gain expertise in sustainable AI. Our product is already creating a seismic impact in forest analytics, and we are only getting started!
Required Skills
This role requires both a solid theoretical background in data science as well as hands-on experience analyzing remote sensing and other geospatial data:
- Academic background in Computer Science, Geomatics, or Environmental Science
- Processing remote sensing data at scale such as satellite/aerial images, LiDAR, SAR
- Development, validation, and deployment of machine learning models
- Experience developing Python-based software for commercial use
- Strong communication skills in English
What we offer
We have a startup mindset in a self-financed growth business. You will get to build a world-class SaaS-based product with a positive impact. We offer market-level salary with stock options and comprehensive benefits. We foster personal growth through trust and freedom to deliver on your responsibilities and provide the resources you need to succeed.
Contact
Interested? Please get in touch with us at: jobs(at)collectivecrunch.com