Location: Essen | Start: Immediately | Working hours: 40 hours/week | Hybrid

As a European energy scale-up, we are driving forward the algorithm-based optimization of electricity flexibility, thus enabling the deeper integration of renewable energies into the energy markets. Our mission is to create real impact with data, intelligent models, and technological excellence.

Your role: Data Science & ML professional

As a Data Scientist (m/f/d), you will design end-to-end machine learning processes – from the initial idea to data preparation and productive deployment. You will build robust models (especially for time series data), ensure automated pipelines, and be responsible for MLOps best practices. You will work closely with Data Engineering, DevOps, and the business units to enable data-driven decisions.

• Development, training, and deployment of machine learning models, especially with time series data (forecasting, anomaly detection, etc.)
• End-to-end support of the model lifecycle: data preparation, feature engineering, model selection, validation, monitoring
• Establishment and maintenance of CI/CD/automation processes for model and pipeline deployments
• Integration into cloud environments – especially Microsoft Azure (e.g. Azure ML, Azure Data Factory, Databricks)
• Monitoring of models & infrastructure with monitoring tools (e.g. Grafana) regarding performance, drift, data quality
• Analysis and data-driven optimization of algorithm-based trading strategies
• Close collaboration with data engineers, DevOps and stakeholders: Collect requirements, deliver analyses, present insights

• Several years of professional experience as a data scientist or in a comparable role
• In-depth experience in working with machine learning models, especially with time series data
• Very good knowledge of Python and relevant ML/DS stack (e.g., pandas, numpy, scikit-learn, TensorFlow/PyTorch)
• Safe handling of git
• Experience with cloud services, ideally Microsoft Azure (e.g. Azure ML, Databricks, Data Factory) and Docker
• Experience with CI/CD, MLOps concepts, automated deployments and model monitoring
• Experience with tools such as Jupyter, Airflow, Microsoft Fabrics
• Knowledge of databases – ideally time series databases or time series data processing
• Good analytical skills and structured approach, high quality standards
• Strong communication skills, team-oriented, proactive
• German and English skills at a negotiation or technical level

We offer challenging and exciting work in a company committed to sustainability and energy flexibility. Our goal is to actively shape the energy transition together with YOU.

You can also look forward to:

• A competitive salary package and 30 days of vacation
• Motivated and team-oriented colleagues – You will work with a team of individual talents who positively influence the company’s success every day
• An innovative and dynamic environment that contributes to shaping a sustainable energy transition
• Development opportunities and training programs tailored to your individual needs
• Great working environment with flexibility in terms of work location (home office / mobile work) & working hours
• Modern, technical equipment and a collaborative atmosphere to develop creative solutions together
• Depending on your employment model, you may be eligible for a JobRad or JobTicket. This will give you mobility and a sustainable way to get from A to B.
• In our modern office in Essen or Berlin, you will find a well-equipped workstation as well as free drinks (coffee, tea, water) and fresh fruit for your vitamin intake
• Short communication channels and flat hierarchies motivate employees to actively and innovatively contribute to the company’s success