As a technical solutions and implementation partner, you work on diverse client projects and support the entire machine learning lifecycle from data analysis to production deployment.
You develop, validate, and optimize machine learning models using Python and common frameworks such as TensorFlow and scikit-learn.
Model operationalization (deployment, monitoring, integration) is a central part of your responsibilities — with a focus on MLOps and production systems.
You analyze and process large datasets (e.g., with Python, SQL, Spark) and derive concrete recommendations for business stakeholders.
In close coordination with clients and internal stakeholders, you present results clearly and advise on data-driven decisions.

Several years of practical experience in data science / machine learning
Strong knowledge of Python and experience with common ML frameworks (e.g., TensorFlow, scikit-learn)
Hands-on experience developing and, in particular, operationalizing machine learning models
Experience working with large datasets and solid foundational knowledge of SQL and data structures
Ideally experience with Databricks, Spark, or comparable technologies and cloud environments (e.g., Azure or AWS)
Structured, solution-oriented working style and strong communication skills when liaising with business units
You are business-fluent in German (C1 level) and communicate confidently in English.

Work–life balance: 40-hour workweek, hybrid working model (60% remote), 30 vacation days per year (+ 2 company event days)
Attractive benefits: Competitive compensation (€70–80k + bonus) plus multi-day company events, company bike (JobRad), on-site gym, and a mobility allowance
Professional development: Individual technical and personal training opportunities and the possibility to further specialize in MLOps or other advanced ML topics

Data Scientist

Key skills