Flexa, a Joint Venture between Enpal and Entrix, is chartered with establishing a Virtual Power Plant (VPP) that delivers exceptional energy cost savings while supporting the transition to a 100% renewable electricity future. 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.
Principal Data Scientist (d/f/m)
Flexa • Munich
Flexa
-
Full-time
Munich
from today
Your duties
- 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 the distributed energy system through optimized aggregation and dispatch concepts, forecasting per household and aggregate 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 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.
- Keep Flexa at the forefront of scientific innovation within the energy sector.
Your profile
- University degree (Master or PhD) in Computer Science, Mathematics, Statistics or related fields, with focus on data science, Machine Learning or optimization
- 7+ years of industry experience in applied data science or Machine Learning
- 4+ 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, for example SageMaker, S3 and DynamoDB
- Demonstrated ability to tackle and resolve multiple complex data science challenges simultaneously, from conceptualization to delivery in production, within fast-paced environments
- Proven record of guiding data scientists to contribute to the organization’s financial performance
- Excellent communication skills in English, and ability to handle multiple stakeholders in a cross-functional setting
- Optimization expertise: experience with optimization problems and methodologies
- Industry knowledge: work experience in the energy industry, particularly in energy trading or similar fields
- Experience in time series data processing, analysis and forecasting, with focus on streaming settings
- Hands-on experience in big data technologies, such as Spark and Dask, container orchestration frameworks such as Kubernetes, and in handling Machine Learning models at scale
Our offer
- Virtual Share Options: We offer virtual share options to all our employees
- Professional Development: Annual development budget of 3,000 € for coachings, trainings, books, etc
- Health & Sport Subsidy: Company subsidised sports facilities membership
- Public Transportation Subsidy: Monthly subsidy to your public transport ticket
- Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers
- Work Equipment: Mac Book or Windows Laptop, iPhone (also for private use) and ergonomic workplace
- Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc.
Testimonials
Pepijn
Director Software Engineering
Empowerment and collaboration are necessary to create an impactful digital product. Having people from diverse backgrounds best enables us to build vibrant teams that tackle our complex engineering challenges. Different nationalities, genders, and lived experiences, highlight distinctive solutions and allow for holistic problem-solving approaches.
Sarah
Software Developer
Having joined Enpal's tech team almost a year ago, I felt warmly welcomed from the beginning. It's an inspiring environment where everyone can pick tasks they enjoy. I appreciate the freedom to voice disagreements and have constructive discussions to find the best solutions collaboratively. We encourage suggesting and driving solutions - not just creating new features but also maintaining software and managing tech debt.
