Data Scientist

encentive GmbH

full-time

Posted on: 9/17/2025

Origin: • 🇩🇪 Germany

✨ AI Apply

Mid-LevelSenior

CloudDockerKubernetesPyTorchScikit-Learn

About the role

Development of machine learning models to forecast important variables such as electrical energy generation and consumption
Responsibility for all aspects of the machine learning lifecycle from problem definition and initial data analysis to training, deployment and performance monitoring
Improving forecasting pipeline and adapting it to customer requirements
Ensuring high quality of code base through commitment to best practices in software development
Close collaboration within an agile project team including exchange, reviews, and further development of the software architecture

Proven experience in the development and implementation of production-ready machine learning models using frameworks such as scikit-learn, xgboost or PyTorch
Sound knowledge of statistical analysis methods for evaluating data and ensuring the quality of models
Completed studies in the field of data science, mathematics, computer science or comparable
Experience with time series forecasting in general and load forecasting in particular is an advantage
Knowledge of MLOps (e.g. Docker, Kubernetes, cloud deployment, API development) is an advantage
Proactive, independent and structured way of working
Enjoyment of interdisciplinary project work
Ability to communicate complex technical issues effectively and in a target group-oriented manner