Location: Munich, Germany
- Employment Type: Full-Time, indefinite term
- Salary Range: € 110.000 - 135.000 per year gross depending on the seniority level
- Office-first work setup
- Language Requirement: C1 Level English
Lead the technical implementation of Flexa data science initiatives and projects from ideation and model development through deployment and maintenance, ensuring robust and high-quality solutions.
Research, develop, and adapt algorithms that unlock the capacity in our virtual power plant through optimized aggregation and dispatch concepts, household-level forecasting and identifying opportunities to distribute intelligence.
Mentor and guide Flexa data scientists, fostering an environment of continuous learning and improvement.
Foster technical excellence, drive best practices and contribute to our open, data driven engineering culture.
Strategic Product Development: Drive the advancement of our product development roadmap, ensuring scalable and efficient solutions that expand the reach of our platform.
Work collaboratively within Flexa cross-functional teams and across partner companies, to ensure alignment with product and business goals.
University degree in a data-driven or analytical field (such as Computer Science, Statistics, Applied Mathematics, Data Science, or related disciplines), with a strong focus on Machine Learning.
5+ years of industry experience in applied data science or Machine Learning
3+ years of industry experience in a technical leadership role, overseeing data science initiatives
Proficiency in software development and software practices, with strong expertise in Python
Extensive hands-on experience in developing, deploying and monitoring Machine Learning models in production
Experience in working in the cloud, ideally AWS, with an emphasis on data and Machine Learning tools
Demonstrated ability to tackle and resolve multiple complex data science challenges simultaneously, from conceptualization to delivery in production, within fast-paced environments
Excellent communication skills in English, and ability to handle multiple stakeholders in a cross-functional setting
Proven record of guiding data scientists to contribute to the organization’s financial performance
Skills to Set You Apart
Deep understanding of optimization problems and methodologies
Industry experience in the energy industry, particularly in energy trading or similar fields
Expertise in designing algorithmic execution strategies and modeling market impact within intraday continuous power or financial markets
Substantial background in forecasting intraday price movements, modelling order book dynamics, and market microstructure
Hands-on experience in big data technologies, such as Spark and Dask and in handling Machine Learning models at scale
Experience in time series data processing, analysis and forecasting, with focus on streaming setting
Flexa, a Joint Venture between Enpal and Entrix, is chartered with delivering a Virtual Power Plant (VPP) delivering exceptional energy cost savings while supporting the transition to a 100% renewable electricity future.
The combination of delivering complete residential energy systems at great cost with savvy market participation in several revenue streams sets us up to deliver real world customer savings while improving customer satisfaction enjoying the advantages of a fully electrified and energy producing home.
Through a deep integration into the installed hardware and a direct connection to the customer interfaces, Flexa’s solution controls the energy assets (such as EV, heat pump, home storage and others) of the entire Enpal energy community with an exceptional level of accuracy, speed, transparency, and thus customer satisfaction. With intelligent real-time dispatching algorithms, Flexa maximizes Enpal customers’ usable flexibility and its returns on energy markets including costs, such as grid fees, asset degradation.