Senior Applied Data Science Engineer | Senior Applied Data Science Engineer (w/m/d)

Job Summary

This Senior Applied Data Science Engineer role focuses on leading the digital transformation of energy management by designing and implementing intelligent, scalable solutions. Day-to-day responsibilities include applying advanced data science techniques to complex energy datasets, designing reusable modules for the AI/ML/GenAI platform (including preprocessing and feature engineering), and leading the integration of models into production pipelines in collaboration with MLOps engineers. The ideal candidate holds a Master's degree in Data Science or a related field, coupled with solid, longstanding hands-on experience in applied data science and statistical modeling. Essential technical skills include advanced proficiency in Python (pandas, scikit-learn, NumPy) and familiarity with deep learning frameworks (PyTorch, TensorFlow). This position is attractive as it offers the opportunity to shape the platform roadmap, mentor junior staff, and drive the foundational technologies that support the global energy transition across cloud, on-premises, and edge environments at Siemens Energy.