Senior Data Scientist (m/f/x)

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.

Responsibilities

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

Requirements

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

Nice to 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

Benefits

Equity (all permanent KONUX employees have equity!); Dedicated Learning & Development budget of 3.600€ p.a.; Comprehensive relocation support; 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; Pet-friendly company