Senior Data Scientist (m/f/x)

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!

We show an excerpt and a link, and the full text when the source allows it. Brands and logos shown belong to their owners.

Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation