Head of Data Science
Head of Data Science
Flexa Munich
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- NEW
Head of Data Science
Flexa • Munich
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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.
- Full-time
Munich
from today
Your duties
- As a disciplinary leader provide directions, coaching and support to the Data Scientists (and Data Engineers - currently 8 FTEs, plan to grow to ~15 by end of year) chartered to Research, develop and adapt algorithms that unlock the capacity in the energy system through optimised returns in trading the flexibility of our assets
- Actively drive talent development in the Data Science team, individually and as a team
- A winning mentality that drives cultural change; role-model collaboration and teamwork with peers heading other teams
- Be responsible for the expansion and evolution of our cloud-based service offering, delivering innovation and differentiation, based on technology leadership solid fundamentals and a lean research and implementation process
- Collaborate with the executive and leadership teams to set the vision, strategy, algorithmic roadmap and long-term goals that align with the business objectives, achieving Entrix's success
- Fail-fast, as part of the tech leadership team, accelerating product delivery without sacrificing excellence is what we are inspired by, finding new ways of working, using technology, breaking habits, limits and ceilings. Especially for a data-science team the balance between exploration and delivery is crucial and needs to be clearly demarcated and managed
- Foster technical excellence, drive best practices contribute to our open, data driven engineering culture
- Building, iterating, deploying and maintaining code from scratch to excellence
Your profile
- Master or advanced degree in Computer Science, Mathematics, Physics or a related field
- 10+ years experience in Data Science of which at least 5 years in a leadership position
- 5+ years of experience in delivering and maintaining machine learning and data science algorithms in production
- Demonstrated success in managing and leading high-performing Data Science teams
- Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders as well as collaborating on deep technical concepts with your peers and team
- Track record of successfully delivering technically advanced data products in time
- Ability to technically and scientifically lead applied research projects, challenging our current technology choices as well as assisting in bringing the models to production
- Excellent English communication and interpersonal skills
- You enjoy solving problems and sparring ideas in a cross-functional team with our battery engineers, software engineers, product managers and business developers
Skills to Set You Apart
- Having led a mix of Data Science and Software Teams
- You have built data science teams before
- Experience in the energy industry
Our offer
- Competitive Compensation Package: Including salary and benefits
- 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: MacBook or Windows Laptop 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.
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