Data Scientist — MLOps & Analytics Platform | Data Scientist — MLOps & Analytics Platform (all genders)

Job Summary

This role seeks a skilled Data Scientist focused on MLOps and Analytics Platform development within the renewable energy sector. Day-to-day responsibilities involve building and maintaining robust MLOps pipelines for the deployment, monitoring, and versioning of Machine Learning models. The specialist will also develop scalable, production-ready data workflows using orchestration tools (such as Apache Airflow or FastAPI) and contribute to the creation of a central analytics platform, including building modular components, APIs, and dashboards. Key tasks include developing ML models for time series forecasting, implementing automated anomaly detection, and conducting performance analyses. Candidates must possess a Bachelor's or Master's degree in a technical field, 2–4 years of relevant experience, and strong proficiency in Python, SQL, and at least one major ML framework. The position requires fluent communication in both German and English, offering the opportunity to work on cutting-edge data solutions that contribute to a sustainable future.