Senior Machine Learning Data Scientist (d/m/f)
Flexa Munich
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Save Apply
Senior Machine Learning Data Scientist (d/m/f)
Flexa • Munich
Save Apply
Flexa
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.
Munich
from today
Your duties
- Research, develop and productize ML models for distributed energy system including optimized aggregation, clustering, dispatch concepts and forecasting
- Implement, deliver and monitor well-engineered data science solutions in our real-time production system.
- Contribute to define our data science roadmap, and help shape our next generation algorithms.
- Promote technical excellence, advocate for ML and coding best practices, contribute to our open, data-driven engineering culture, and mentor junior data scientists.
- Build, iterate, deploy and maintain code from inception to completion.
Your profile
Mandatory Requirements
- University degree in Computer Science or Statistics, with main focus on Machine Learning.
- 5+ years industry experience in Machine Learning time series forecasting, or in data science applied to the energy sector or complex distributed systems.
- Proficiency in software development and software practices (e.g. testing, code quality, monitoring), with strong expertise in Python.
- Proven experience in delivering and monitoring machine learning artifacts in production
- Experience working in AWS
- Proven record of mentoring junior data scientists, leading them to contribute to the organization’s financial performance
- Excellent English communication and interpersonal skills
- You enjoy solving problems and sparring ideas in a cross-functional team with our data scientists, software engineers, product managers and business developers
Skills to Set You Apart
- Industry experience in Deep Learning
- Experience in Linear and Stochastic Optimization
- Work experience in energy trading or similar fields
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.
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.
