Senior Data Scientist

E.ON is one of Europe's largest operators of energy networks and infrastructure and a provider of innovative energy solutions. Our employees are constantly working to digitise the energy world, achieve net zero and connect everyone to good energy. To achieve this, we are focusing our actions on sustainability, digitalisation and growth. We strongly believe that differences make us stronger and welcome all people into our inclusive and diverse culture. **A job that inspires you** - Lead the technical implementation of sensor and IoT projects, from concept to production-ready deployment in the energy industry, ensuring robust and high-quality solutions - Oversee the development, implementation, and deployment of state-of-the-art ML/AI models and technologies in digital pipelines together with IoT, Data, and ML Engineers - Guide and mentor junior data scientists and collaboration partners, adding to and embracing FutureLab’s environment of continuous learning and improvement - Drive the venturing of innovative R&D projects, from elaboration of technical ideas and concepts, through development of integrated hardware - and software prototypes and business development - Work collaboratively within cross-functional teams and across partner organisations - Communicate effectively technical requirements and business interdependencies to ensure alignment of project and engineering goals - Stay ahead of emerging technologies, state-of-the-art components, and best practices in the areas of robotics, industrial IoT, and AI in the energy industry **A background that convinces us** - University degree (Master or PhD) in Computer Science, Statistics, Engineering or related fields - Over 6 years of professional experience in applied data science or Machine Learning, ideally in an industrial or energy setting - Profound knowledge in digital signal processing and insights into retrieving vital information from transmitted and received electromagnetic signals - Strong software development skills with expertise in Python and MATLAB, along with hands-on experience using data science tools and libraries (e.g. NumPy, SciPy, Matplotlib, Scikit-learn, PyTorch (or equivalent), and Jupyter Notebooks) - Knowledge of the mathematical foundations of statistical inference and forecasting such as time series analysis, multivariate analysis, cluster analysis, and optimization - Extensive hands-on experience in developing, deploying and monitoring Machine Learning models - Experience in working in the cloud, ideally Azure, with an emphasis on data and Machine Learning tools - In-depth knowledge about the energy industry, its mechanisms, and challenges (professional experience in the energy industry is a plus) - An experimental and entrepreneurial mindset and a desire to build things from scratch or optimize ones that already exist - Outstanding communication skills with the ability to communicate complex technical ideas, regardless of the technical capacity of the audience - Passion for technology and the inner desire to solve problems and move things forward - Fluent in spoken and written English; German is a plus **Skills to Set You Apart** - IoT expertise: experience working with IoT or sensor data - Solid understanding of chemometric techniques such as multivariate analysis (e.g. PCA, PLS), spectral preprocessing, and calibration model development - Experience in time-series analysis, anomaly detection, or predictive maintenance using remote sensing data - Experience in chemical engineering or understanding the chemical composition of different liquid insulators is a plus **An environment that motivates you** - A role full of challenges, where we will collaboratively design a successful onboarding process - A respectful work atmosphere where mutual trust and respect play a crucial role in teamwork - A modern work environment that ensures a balanced work-life balance through flexible working hours and the option for home office - A diverse range of personal and professional training and development opportunities - A strong network, as we prioritize collegial exchange across business units, offering various perspectives - A secure provision with attractive compensation and additional benefits, such as in-house sports offerings - 40 hours work week and 30 vacation days - 100% paid travel time, including business trips (>50km), in first-class train travel **Do you have questions?** **What you need to know**: Contract type: Permanent Working time: Full time Company: E.ON Group Innovation GmbH Function area: Data / IoT Location: Munich **Inclusion**: