To successfully fight climate change, two major industries need to change profoundly the way they generate, store, and consume energy: Mobility and Energy. This transition needs to happen fast if we want to prevent tipping points of the climate system to be reached. At TWAICE, we accelerate the electrification in mobility powered by green energy. We do so by leveraging deep battery expertise, machine learning, and software technology. The Fleet Solutions Team at TWAICE helps players along the vehicle supply chain – suppliers, OEMs, Fleet Operators – to master challenges coming along with the roll-out and operation of electric vehicles. Our products uncover previously unavailable information which permit our clients to gain actionable insights into the single most valuable component inside an electric vehicle: the battery. To innovate our products with an even stronger customer focus, we are looking for a Data Scientist to join the team. In this role, you will be working at the forefront of product development. In close feedback loops with clients, you will be discovering and developing new product solutions. We want you to dive deep into both clients’ challenges and the solution space. Leverage your skills in data wrangling, machine learning modeling, coding, as well as your curiosity and creativity. Next to Product Management and UX Design, the battery and machine learning engineers on the team will be your daily sparring partners. These engineers work on our core technology, an in-life battery analytics stack which distills key values out of battery raw data. You can fully leverage this stack and any additional data pools you need to be successful. Back-End Engineering team members will help you to access these.