CollectiveCrunch is an AI leader in the forest industry. We collect geospatial and forestry process data and crunch this information into AI models for better prediction of forest inventories.
By modelling forest risks and carbon storage, we work on the forefront of sustainability. Our business is growing fast, and our financial foundation is strong.
This is a great opportunity to advance your expertise in a sustainable AI company, and to grow into a true heavyweight in data science. We are building something that already creates a seismic impact in the forest industry, and we are only getting started.
As a Full-Stack Data Scientist, you will be responsible for designing and developing data pipelines, combining complex data sets, and developing machine learning models. This means being involved end-to-end, from collecting data to designing and testing prediction models.
You will work with a multidisciplinary team of data scientists, backend engineers, applications developers, as well as QA engineers.
You have a solid theoretical background in data science (incl. data preparation, visualisation, predictive modelling and validation) as well as a hands-on software development background enabling you to address tasks end-to-end.
Qualities we think you need in order to thrive in this position
The following skills will be an advantage
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. We are solving problems that have not been solved before, so high impact personal growth is involved. We trust you from day 1 and give you the freedom to deliver on your responsibilities. We offer market-level salary with stock and comprehensive benefits, so you have everything you need to succeed.
Interested? Please get in touch with us at: jobs(at)collectivecrunch.com