The Software Engineering team at GBatteries is responsible for bringing our charging technology to life. As a Data Scientist, your role will involve recognizing patterns in our vast battery database, building sophisticated models, and building the tools and systems necessary to do your work.
The ideal candidate will be extremely curious, and have a strong scientific background in machine learning, math, statistics, and be obsessed with results. You exercise very sound judgment and have the ability to balance sophistication with simplicity, scientific rigor with pragmatism, and agility with quality.
What we offer:
Our mission is to accelerate the mass adoption of electric vehicles to reduce global greenhouse gas emissions. Since being established in 2014, and with the only demonstrated technology capable of charging off the shelf lithium-ion batteries as quickly as filling a tank of gas, we’ve grown rapidly and are working with some of the largest manufacturers in the world.
We are working on many exciting projects towards our goal of breaking down the final barrier preventing the adoption of electric vehicles; range anxiety. We’re a growing company, and there’s still a huge amount to do. You’ll be able to see the impact of your work from day one, and have the opportunity to see the final effect on real world products. We encourage unconventional thinking, and seek resilient problem solvers who aren’t afraid to get their hands dirty.
Of course, we also offer other great benefits:
Inclusive parking, full dental and health coverage, a renovated and spacious office, fridge and pantry filled with drinks and snacks, and regular weekly social events. We’re conveniently located near the 417 highway with easy access via major public transit routes, right beside a small park and an assortment of shops and restaurants.
Is the idea of enabling the global mass adoption of electric vehicles exciting to you? We’d love to hear from you! If you have any questions, or just want to say hello, feel free to reach out to Tim Sherstyuk on LinkedIn. To apply please include a short message addressed to Henry Rearden within the application below; no cover letter necessary.