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

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

Work–life balance: 40-hour week, hybrid work model (60% remote), 30 vacation days per year (+ 2 company event days)
Attractive benefits: …
Individual professional and personal development opportunities, including the ability to specialize further in MLOps or advanced ML topics

Data Scientist

Key skills