As a technical solution and implementation partner, you will work on diverse client projects and support 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.
Model operationalization (deployment, monitoring, integration) is a central responsibility — 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 units.
In close coordination with clients and internal stakeholders, you will present results clearly 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 especially operationalizing machine learning models
Experience handling large datasets and solid knowledge of SQL and data structures
Ideally experienced 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 have business-fluent German (C1 level) and communicate confidently in English.

Work–life balance: 40-hour workweek, hybrid work model (60% remote), 30 days of vacation per year (+ 2 company event days)
Attractive perks: Competitive salary (70–80 k€ + bonus) plus multi-day company events, company bike (Jobrad), on-site gym, and mobility allowance
Professional development: Individual technical and personal training opportunities and the option to specialize toward MLOps or advanced ML topics

Data Scientist

Key skills