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We are seeking a Senior Data Scientist (f/m/x) to join our team of innovators. In this role, you will be at the forefront of developing groundbreaking solutions that solve real-world problems. You will work alongside a team of experts who are committed to pushing the boundaries of what s possible and driving innovation forward.

If you re a go-getter who s not afraid to think outside the box, we want to hear from you. You ll be a key driver of our culture, helping to ensure that our values are embedded in everything we do. Your Impact: - Develop insights using a wide range of data sources, including IIoT sensor data and other railway domain datasets - Design and implement solutions - from understanding customer challenges to releasing models to production - Deploy well-tested, maintainable solutions into live systems - Develop tools and infrastructure for sensor data analysis that integrate smoothly into our end-to-end software engineering lifecycle - Collaborate closely with engineers, product managers, and domain experts to translate business needs into technical impact\ - Drive innovation and help you and your colleagues improve and grow To be successful in this role, you’ll need to have: - A degree in Mathematics, Statistics, Computer Science, Engineering, or a related field with 5+ years of hands-on experience in data science, having built and tested statistical or ML models - Fluency in Python and ideally experience with an additional programming language - Past experience working with dataframe-centric data manipulation tools such as pandas, PySpark, Polars and SQL - Past experience owning complex data science problems independently, having developed models for production systems, beyond pure academic or research settings - Familiarity with version control (Git) and common software engineering best-practices - A proactive, impact-driven attitude and the ability to thrive in a fast-paced, collaborative environment It’s a plus (but not a requirement) if you have: Experience applying digital signal processing (DSP) techniques to extract features and insights, for example from sensor or time-series data - Understanding of model monitoring techniques, software testing, and CI/CD workflows - Worked with and trained models using diverse types of data (e.g. time-series, tabular, event logs, images, sensor data etc.) - Experience with state-space and survival modeling, and familiarity with statistical packages such as statsmodels, PyMC, or Stan - Experience with AWS and Databricks Why Join Us: Competitive salary (85.000 - 100.000 EUR p.a. depending on seniority/exoerience) Equity (all permanent KONUX employees have equity!) Dedicated Learning & Development budget of 3.600€ p.a.

Comprehensive relocation support if this opportunity at KONUX requires you to move ‍ Hybrid working model: Meet your colleagues in the office minimum 2 days per week Modern workspace with a cool rooftop with a mountain view Flexible working conditions, home office equipment and free choice between a Windows or Apple laptop ❤️‍ Health benefits supporting your physical and mental well-being, e.g wellpass/gym membership and mental health app license Fruits, snacks and beverages for energy and our very own Oma cooking in the office every Thursday Company pension scheme Access to Corporate Benefits and Future Bens 27 vacation days (+1 day on every work anniversary for 3 years) Volunteering activities (2 additional days off) Company and team events We are a pet-friendly company, so your four-legged friend can join you in the office!

Über das Unternehmen

KONUX is a dynamic and fast-growing technology company that is transforming the way the railway industry works. Our AI-powered solutions empower our customers to make smarter, data-driven decisions, and our culture is fueled by grit, ingenuity, and credibility - we believe that these values are essential to unlocking the potential of technology and making a real impact. At KONUX, we are passionate about driving innovation in the fields of IoT and AI, and we are looking for like-minded individuals to join our team.