Location: Fully remote within Europe, +/- 1 hour of CET.
Salary: €70K – €85K + 13% vacation supplement + equity & benefits.
Vegetation management. Harder than it sounds. Cut too much; cause unnecessary damage, too little and the risk of wildfire or damage to infrastructure can be devastating and costly.
Vegetation management may not sound 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 protects as much nature as possible while saving homes, businesses, and services from blackouts caused by seasonal and extreme weather events. Literally improving energy and climate resilience.
The company have grown rapidly since the end of 2021. There are ~60 people now, with around 30 of those in development and geospatial / 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 these efforts to utilise the tools they’ve built to bring value from satellite imagery and other geospatial datasets, analysing those using machine learning, and delivering the end results to customers.
You’ll work with commercial teams and customers to understand their needs, what existing solutions can be applied, what’s already planned and in development and what future capabilities can be delivered. You’ll design bespoke solutions and wrangle the necessary people to deliver those.
Also, supporting software engineering and data science teams to improve and create products and tools, define risk, strategy and resource management alongside executing delivery plans in line with estimations.
This role is somewhat hybrid, touching on technical project management, with some hands-on work using Python and Jupyter notebooks to implement fixes, optimise and configure tools and generally tie off loose ends where needed, so you’ll be ~30% hands-on.
Commercial remote sensing experience and satellite imagery exp are a huge benefit, but having experience with Python and Jupyter Notebooks is 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 pretty 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 have that remote sensing, geospatial or satellite data exp.
There will be projects that others lead, and you review or support, but you will take the lead on lots of different projects, some small, some larger. The team are friendly and passionate, and the company are supportive with good benefits including equity, so you’ve bought into any future success.
What are you waiting for – if this sounds interesting and you have done 60-70%, or more, of what’s mentioned above in some form, do hit apply.
