Principal Geospatial Data Scientist – Conservation
Location: Fully remote within Europe, +/- 2 hours of CET.
Salary: £70K – £100K + 13% vacation supplement + equity & benefits.
Forest management can be challenging. Cut too much and you’re causing unnecessary damage, too little and the risk of wildfire or damage to infrastructure can be devastating and costly.
Vegetation management may not sound all that exciting but building earth observation software to integrate satellite imagery with geospatial analysis and Machine Learning with data coming in from teams, remote sensors and other hardware on the ground presents interesting challenges!
These systems are used to efficiently manage resources and team activities, saving time and money.
Most importantly though, this saves homes, businesses and services from blackouts caused by seasonal and extreme weather events. It’s a game changer improving energy and climate resilience.
The company have grown rapidly since the end of 2021. There are 60 people now, with around 25 of those in development and data science.
The data science team are growing to increase the capacity of their systems for their existing clients, and to meet demand as new clients with ever-more-interesting requirements come online. They need someone to support their efforts to utilise satellite imagery and other geospatial datasets and analyse those using machine learning, delivering the end results to customers.
You’ll work with the software engineering teams to improve and create products and tools, support customers, refine and build data models and look at optimising data pipelines, nudging their systems onto the next stage of evolution.
Commercial remote sensing experience and having worked on projects with Python or C++ are a must, and they’re keen to speak with people who’ve worked at start-ups or small companies where close customer relationships and interaction are/were the norm.
Predominantly they use Python, but they also work quite heavily with GIS technologies and tools. They also use PyTorth and Tensorflow, so experience with similar frameworks or libraries will be transferrable, especially if you’ve worked with geospatial and satellite data. They’re not too picky about whether you’ve worked with R, MATLAB or others, so long as are familiar with Python and can complete a ~4-hour take-home task using it.
There will be some projects you manage independently, and others where you collaborate with the broader team, including customer success.
If alongside being a data scientist you’re deeply curious about climate change, nature and biodiversity, this is a great opportunity to explore those passions and contribute to interesting products with tangible impacts, please do apply.
The team are friendly and passionate, and the company are supportive with good benefits including equity, so you’re bought into any future success.
What are you waiting for? 😀
