Senior Data Scientist

<p><span>With roots in the Southern part of Finland, Kempower is a globally operating DC fast charger designer and manufacturer with a vision to create the world’s most desired EV fast charging solutions for everyone, everywhere.</span></p><p><span>At Kempower, we're driving the Electric Vehicle evolution to create a cleaner and quieter environment for everyone. We inspire global audiences to join the electric movement and be the change our planet needs. If you're passionate about making a positive impact and want to plug into a dynamic team, we want to hear from you!</span></p><div><p><span>Our Culture fosters a positive work environment where every voice is valued. Regardless of job titles, we're united by our can-do attitude and collaborative spirit. With a diverse team representing over 40 nationalities, we celebrate unique perspectives and encourage continuous learning and growth.</span></p></div><div><p><span><strong>THE ROLE</strong></span></p></div><div><p><span>As a Senior Data Scientist at Kempower, you’ll build machine learning and data-driven solutions for our cloud software product ChargEye (EV Charging Station Management System). You’ll explore and model real-world charging data, productionize models together with data and software engineers, and turn complex analyses into clear insights for both internal and external stakeholders.</span></p></div><div><p><span>Your main responsibilities include tasks such as:</span></p></div><ul><li><p><span>Build new ML- and data-based solutions as part of ChargEye, from exploratory analysis to modeling and evaluation</span></p></li><li><p><span>Productionize robust, maintainable and scalable solutions together with data and software engineers</span></p></li><li><p><span>Contribute to and improve data, training, validation and deployment pipelines for ML models and analytics.</span></p></li><li><p><span>Develop interactive dashboards, reports and analyses for internal and external stakeholders.</span></p></li><li><p><span>Take a leading role in shaping data science ways of working (best practices, processes, documentation and quality).</span></p></li><li><p><span>Collaborate directly with cross-functional stakeholders and mentor more junior colleagues in the team.</span></p></li></ul><div><p><span>At Kempower, we work in a hybrid model. This role is based in Tampere, with regular in-person collaboration at our Tampere office; occasional travel may be needed depending on project and stakeholder needs.</span></p></div><div><p><span><strong>WHY JOIN US?</strong></span></p></div><div><p><span>We foster an Innovative Culture, we're not just developing products; we're evolving as individuals and as a team. At Kempower, you'll find an open and flexible work culture where your voice is heard, and your ideas are valued. At Kempower, we see learning as a talent and are committed to helping you grow whether it’s through daily learning, mentorship, training programs, or opportunities for advancement.</span></p></div><div><p><span>We believe in integrity, open doors, and honest conversations. You'll have the chance to take ownership of your work, drive your career development, and shape our company's future.</span></p></div><div><p><span>As we are committed to prioritizing your well-being, you will enjoy the flexibility to balance work and life with hybrid work options, comprehensive occupational healthcare services, extensive insurances, rewarding and motivating compensation packages, and the freedom to choose the equipment you need to excel in your role. We also offer various other benefits such as sports, culture and well-being, or you can choose to spend one workday participating in charity work.</span></p></div><div><p><span>We embrace Cross-Team Collaborations. You'll collaborate with colleagues from diverse backgrounds and disciplines, working together to grow our business and reach our shared goals.</span></p></div><div><p><span><strong>WHAT HELPS YOU SUCCEED IN THIS ROLE</strong></span></p></div><div><div><ul><li><p><span>Experience building production-grade data science solutions on cloud platforms (AWS) and modern data platforms such as Databricks, including deployment and monitoring</span&gt