- Location: Munich, Germany
- Employment Type: Full-Time, indefinite term
- Salary Range: β¬ 95.000 - 115.000 per year gross depending on the seniority level
- Office First work setup
- Language Requirement: C1 Level English
Research and develop algorithms that optimize utilization in the Virtual Power Plant through smarter aggregation, disaggregation, and dispatch
Model, implement, and iterate on real-time dispatch optimization and control problems for Flexa's residential battery portfolio
Design and run experiments to evaluate dispatch policies and attribute outcomes against forecasts and market behaviour
Take models from research into reliable production: implement, deliver, and monitor well-engineered, data-driven solutions in our real-time systems on AWS
Opportunity to guide and develop more junior colleagues through design review, code review, and structured feedback
Be part of a cross-functional team of data scientists, software engineers, and other teams across Flexa's partner ecosystemΒ
University degree in a data-driven or analytical field (Operations Research, Applied Mathematics, Computer Science, Physics, Energy Engineering, or similar quantitative discipline)
5+ years industry experience in applied data science
Mathematical optimization / OR experience. Hands-on with LP/MILP and MPC-style receding-horizon methodsΒ Β Β Β
Strong analytics and experimentation discipline β designing experiments and analysing results carefully, including counterfactual and regret reasoning
Energy domain background β markets, batteries, grid; understanding how the physical asset, the market, and the grid interact
Proficiency in Python and software engineering practices: testing, code quality, code review, CI/CD, monitoring, and modular code design
Proven track record of taking models from research into reliable production on AWS (or comparable cloud)
Excellent English communication and interpersonal skills
Cross-functional collaboration mindset across data scientists, software engineers, and partner-company stakeholders
Independent research experience, excellent analytical skills with strong attention to detail, and the ability to manage multiple tasks in a fast-paced team environment are essential.
Direct experience optimizing battery dispatch, demand response, or aggregated DER portfolios
Hardware or embedded experience, and comfort with real-time / low-latency systemsΒ
General machine learning experience β supervised learning, model evaluation, and knowing when ML is (and isn't) the right tool alongside optimization
Control background β MPC, receding-horizon control, or state-space methods for time-coupled decision-making
At Flexa, we are committed to diversity β of backgrounds and experiences. You donβt need 100% of the listed requirements to apply.
Virtual Share Options: We offer virtual share options to all our employees
Professional Development: Annual development budget of 3,000 β¬ for coachings, trainings, books, etc
Health & Sport Subsidy: Company subsidised sports facilities membership or
Public Transportation Subsidy: Monthly subsidy for your public transport ticket
Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers
Work Equipment: MacBook, an ergonomic workplace setup, and company-funded access to leading AI development tools so you always have the best tools available
Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc.
If you have any questions, feel free to send an email to talent@flexa.energy
We are looking forward to receiving your application!
Flexa, a Joint Venture between Enpal and Entrix, is chartered with delivering a Virtual Power PlantΒ (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, Flexaβs 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 customersβ usable flexibility and its returns on energy markets including costs, such as grid fees, asset degradation.