Senior Energy Data Scientist (d/m/f)

Job description

Short Facts

  • Location: Munich, Germany
  • Employment Type: Full-Time, indefinite term
  • Salary Range: € 88.000 - 115.000 per year gross depending on the seniority level
  • Hybrid work setup (min. 3 days in the office, 2 days in home office)
  • Language Requirement: C1 Level English

Your Responsibilities

  • 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
  • Create data science solutions that solve business challenges through well engineered, elegant technical answers (focus on software)
  • Advance our product development roadmap and help scaling our solutions to further applications expanding the reach of our solution
  • Foster technical excellence, drive best practices contribute to our open, data driven engineering culture
  • Building, iterating, deploying and maintaining models from scratch to excellence

Your Profile

Mandatory Requirements

  • 5+ years experience in a quantitative Data Science role, preferably in the energy sector, a leading tech firm or start-up
  • Expert in Python
  • You hold a degree in mathematics, statistics, informatics, computer science or a similar field
  • You have developed creative solutions to real-world problems that made it to production
  • You have experience with building machine learning solutions and implemented them in an operative application environment
  • Excellent English communication and interpersonal skills
  • You enjoy solving problems and sparring ideas in a cross-functional team with firmware engineers, software engineers, and product managers

Skills To Set You Apart

  • Experience with optimisation problems
  • Experience working with AWS
  • Experience with putting complex algorithms into production
  • Work experience in the energy industry

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.

Your Compensation Package And Benefits

  • 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.

Contact Information

Your contact person is Müge Arslantürk (Head of People).

If you have any questions, feel free to send us an email to talent@flexa.energy

We are looking forward to receiving your application!

About Us

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.

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