We want to accelerate the world's transition to clean energy by making electric vehicle batteries more efficient and safer. We do that by looking at batteries with ultrasound and we are able see batteries differently. With that knowledge we can improve the quality, durability and safety to make electric vehicles more affordable.
In 2019, global battery production could power ~5 million EVs, however the equivalent of ~1 in every 6 batteries were scrapped in production. That’s ~$4 Billion of waste in 2019, due largely to insufficient data and analytics in production. Batteries are fundamental to our clean energy transition, but unless we change the status quo, their cost will remain a major barrier.
Our mission is to accelerate the clean energy transition by decreasing the cost of battery manufacturing. We are pioneers in advanced process inspection & intelligence solutions, enabling our customers to “See Batteries Differently.” Our EchoStat platform uses ultrasound and data analytics to deliver unique, valuable insights that create value in battery production by speeding up time-to-market for new batteries, accelerating yield ramp for new production processes, and improving steady-state productivity.
Founded in 2016, Feasible is headquartered in Emeryville, CA. Since inception, Feasible has received over $8M in grants and equity funding from Chrysalix Ventures, Incite Labs, NSF, DOE (ARPA-e), Elemental Excelerator, Activate (formerly Cyclotron Road), and others. We are currently working with leading battery manufacturers and automakers to test and evaluate our beta systems.
As a Junior Data Scientist at Feasible, you will join a small, nimble team of engineers creating cutting-edge battery inspection equipment and software. You will be an integral part of analyzing the data produced by this equipment, developing a deeper understanding of the data's relationship to the battery's production history and performance, and creating tools and techniques to achieve those goals.
On a typical day, you may: perform investigative analysis on experimental data and correlate those results with performance data; build analytics tools and visualizations to empower our engineers and customers; optimize, automate, and streamline our analytics pipeline, and integrate the pipeline with real-time data streams; or communicate your work to internal and external stakeholders with varied backgrounds.
The ideal candidate will approach this work with a mixture of intellectual curiosity, thoughtful creativity, and methodical rigor. They value careful listening, thoughtful questions, and data-driven discussions. They are comfortable with gathering and distilling information to drive the direction of collaborative, open-ended projects. The ideal candidate gets great satisfaction from seeing people do great things with their work, and above all is excited to solve hard problems that have a positive impact on the world’s clean energy future.
We will start with a brief phone interview and we'll talk about the company and this opportunity so you can decide if this is something you want to pursue. Next we'll conduct video interviews with the software team and give you a data analysis project to take home and work on. Finally, we'll invite you onsite so you can meet the whole team, see our offices and lab and learn what our culture is like first hand.
Even though we are small and technical, over half of our company is from under represented groups. But we want to do more. Our DEI committee is focusing on hiring and training/development to make sure that we do not have a diversity debt as we grow. We work with the Emerson Collective to offer paid summer internships to first generation college students. Additionally, each employee has a generous training/educational budget to make sure we are helping all our employees grow. We are committed to building a company that is diverse from interns to board members.
Made with ❤️ by Veni Kunche.