Location | San Francisco / Remote |
Commitment | Full-time |
Role | Engineering |
Remote | 🌴Remote allowed |
First listed | In the last 22 months |
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Job Description
At Stable, you’ll build the foundation of EV charging businesses worldwide. Our software is already used by some of the biggest EV charging operators and developers in the U.S. to deploy billions of dollars in EV infrastructure, and we’re just getting started.
You’ll work alongside a cast of software engineers, machine learning specialists, data scientists, and problem solvers to transform complex consumer behavior, energy pricing, and incentives into actionable insights that propel charging businesses toward greater scale and sustainability.
We believe that the widespread adoption of electric vehicles is crucial for a greener and more sustainable future, and by facilitating the growth and success of the EV charging ecosystem, we can propel the world towards a sustainable transportation revolution.
Our flexible working culture allows everyone to set their own schedule and location to best suit their working style around a core window of overlapping hours. That means that we’re primarily remote, but we also offer co-working access and intentionally create in-person moments to foster collaboration and connection.
We also have great healthcare plans, 401k, parental leave, and a host of other benefits. You can see the full list here: Stable Benefits.
We are looking for a data scientist to help us build and scale our breakthrough EV infrastructure intelligence platform.
You will help us navigate the complex challenges of building and managing the tools needed to help charging companies deploy millions of EV chargers across the world. The clock is ticking on climate change, and with hundreds of thousands of EV chargers needed in the next few years, Stable's platform will be essential to deploying them smarter and faster.
You are a data scientist but you will have the opportunity to tackle large and varied problems outside of your role as we scale our business.
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