Senior Expert Data Science (m/f/d)

Requirements

• You have hands-on experience in designing, training, validating, and optimizing supervised and unsupervised machine learning models (e.g., logistic regression, decision trees, random forests, gradient boosting, clustering, neural networks)
• You build and operate end-to-end data science pipelines – from problem definition and hypothesis formulation to production deployment – using tools like MLflow, FastAPI, Docker, and CI/CD processes
• You are proficient in Python and the most common data science libraries (NumPy, pandas, scikit-learn, XGBoost), have basic knowledge of deep learning frameworks (TensorFlow or PyTorch), and solid SQL skills for large-scale cloud databases (e.g., Snowflake)
• You apply MLOps best practices with model monitoring and testing in production (e.g., drift detection, performance measurement, automated alerts) and know Git workflows for versioning and deployments
• You thrive in interdisciplinary, agile teams, communicate clearly and proactively, and are motivated to solve real-world problems with data
• You have excellent English communication skills (written and spoken); German skills at business level are a plus
• You are willing to work on-site up to two days per week