Senior Data Scientist
We’re hiring quickly and consciously, as a foundational hire, you’re going to make a massive impact on who this team is. We are passionate about building scalable, real-time systems that tackle the complexities of grid management and empower the clean energy revolution. Bring your values sincerely and help build a cohesive, high-performing and respectful company.
You’ll report to the VP Eng and collaborate closely with the entire company. At this stage and size, there’s truly only one team
What you’ll do
Let’s face it; you’ll need to wear a few hats. But, success requires a focus on execution, so this will be your focus:
Build meaningful, valuable products
You will be responsible for leveraging your expertise in electricity system modelling, geospatial data analysis, and computer vision to develop cutting-edge solutions that accelerate grid decarbonisation.
Utilize electricity system modelling techniques to simulate and analyze network behaviour, identify bottlenecks, and propose innovative solutions for grid decarbonisation.
Apply geospatial data analysis methodologies to assess renewable energy resource availability, optimal asset placement, and system performance evaluation.
Develop computer vision algorithms to extract valuable insights from visual data, such as satellite imagery or IoT devices, to support grid monitoring and anomaly detection.
Design flexible, resilient foundations
This position offers a unique opportunity to work in a dynamic startup environment, where you can make a significant impact and take ownership of the entire research-to-production deployment process.
Work across our company
As a small team, we can promise you rapid feedback for what you’re building. Our engineering team will be there to help build resilient architecture for your pipelines and our business needs metrics and analysis.
Our team has big ambitions, and your role will support the delivery of those.
Iterate, automate and improve
To deliver quickly, we make small bets and iterate. In everything we build we improve it on the next pass. And, in every task, we make our jobs faster and easier with each execution.
Who you are
As a foundational hire on this team, you’ll have a massive impact on our culture and our deliveries. So, who you are is of utmost importance. It probably looks like this:
We’re out to earn the trust of our future customers, and we’re doing that by demonstrating the real value in what we build. So, we all need to execute to completion.
You’ll be enthusiastic about solving problems and delivering value in any challenge.
You have around 10 years of professional experience with the entire data science lifecycle, from data exploration and feature engineering to model development, deployment, and monitoring in production environments.
Strong expertise in electricity system modelling, geospatial data analysis, and computer vision.
Solid software engineering skills and the ability to develop clean, efficient, and scalable python, along with experience working with data science libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
We don’t have the answers to everything we need right now, but only by doing will we learn them. That applies throughout the company.
You’ll be comfortable with what you do and don’t know; you’ll know how to ask for help and provide help in return. We’ll be supportive, and make sure you can be the best at what you do.
As a remote-first company, much of our interaction is asynchronous. To fully deliver your ideas, passion and values you need to be an excellent communicator.
Joining a startup this early comes with both risk and reward.
To the right person, this opportunity will accelerate your career. You’ll collaborate with an experienced team of startup builders and investors. Your high degree of autonomy and responsibility will give you a place to show how you get things done.
As one of the first to join the company, you’ll receive very generous equity alongside your salary. Salaries will be reviewed at future fundraising, and that equity has a potentially life-changing upside.
We have a bold vision to go far. So, we’re not location specific and that translates to a flexible, remote or office working environment.
Most importantly to us, you’ll be working in a culture you help to build; one that treats others how you want to be treated.