Data Scientist – Energy Forecasting & Optimization

You'll help shape the future of energy flexibility. As a Data Scientist, you develop forecasting and optimization models that make industrial and commercial energy systems smarter, greener, and more profitable — driving our Flex product for automated energy trading and intelligent control of distributed energy resources., Develop and improve optimization models for battery scheduling, EV charging and energy cost reduction Build forecasting models for consumption, PV generation, charging demand and market-related signals Apply statistical methods (time series analysis, regression, hypothesis testing) to analyze energy data Analyze operational and pilot project data to identify optimization opportunities Work with real customer systems, messy operational data and practical constraints such as runtime, reliability and cost Collaborate closely with engineers, product colleagues and energy experts to bring models into production Support sales with requirements analysis and system simulations, Strong Python skills (Jupyter, Pandas, NumPy, SciPy, cvxpy) and experience connecting to diverse data sources (databases, REST APIs, file formats) Degree in a scientific or engineering discipline (e.g. electrical engineering, physics, mathematics, computer science, energy systems) Proven experience with convex optimization and mixed-integer linear programming (MILP) In-depth knowledge of electricity markets, especially spot market trading in Germany A pragmatic builder and analytical minds...

Fähigkeiten

Numpy, Scipy, Jupyter Notebook, Data Analysis, Python, Pandas