Our software holistically optimizes energy systems in the real estate sector, helping to combat climate change through digitalization and automation. As a Senior Data Scientist, you will be the lead architect of the decision-making logic within our Energy Management System (EMS). You will define the mathematical core of the system: designing how it predicts, reasons, and optimizes energy flows in real-time, a complex "time-based decision" problem in the transition to green energy.
Build high-fidelity simulations to validate algorithm performance against historical data before deploying code to edge devices and cloud environments.
you architect and implement complex models from scratch in Python, ensuring they are robust enough to run in a cloud-to-edge environment.
You have hands-on experience with solvers for MILP, NLP, or MINLP (e.g., You are proficient in Python and can design complex model architectures from the ground up, keeping "the big picture" (end-to-end thinking) in mind.
Bonus Points: You bring experience in energy usage prediction, Reinforcement Learning, IoT/Edge deployments, or energy management systems (EMS)—a plus, but not a must.
Benefits
&##Flexible working hour models, home office, and remote work.
&##Ongoing training opportunities – whether through job challenges, our open feedback culture, or sponsored training programs, there are always opportunities to learn and grow.
&##Employee benefits such as Urban Sports Club or Become1.
&##We value our team – that's why regular team events are very important to us.
&##Don’t believe it?