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
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Full-time
Munich
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
Skills to Set You Apart
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
At Flexa, we are committed to diversity - of backgrounds and experiences. You don’t need 100% of the preferred qualifications to add incredible value to our team. If you’re passionate about what you could accomplish here, we’d love to hear from you.
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.