About Us:
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.
Job Description:
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!