Flexa logo

Senior Energy Data Scientist (ML Focus)

Flexa

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

  • 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.

Your 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.

Benefits
Extracted with AI

  • 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.

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