Hybrid Senior Data Scientist – Optimization

at Green Fusion

• Job title: Senior Data Scientist – Optimization
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Cloud, Python
• Location requirements: Hybrid, Berlin, Germany

About the role

• Senior Data Scientist leading decision-making logic within Energy Management System for Green Fusion GmbH. Designing complex models and collaborating with engineers to optimize energy flows in real-time.

Responsibilities

• 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.
• Create the high-level optimization frameworks (MILP, NLP, or Stochastic Programming) to manage residential energy flows across heat pumps, thermal storage, EVs, and batteries.
• Design and tune closed-loop control strategies to ensure system stability and robustness against model/reality mismatch.
• Utilize Stochastic & Learning-Based Control to handle the uncertainty of weather, prices, and human behavior.
• Develop ML models that respect real-world constraints.
• Build high-fidelity simulations to validate algorithm performance against historical data before deploying code to edge devices and cloud environments.
• Mentor junior team members and help navigate complex problem-solving and define the algorithmic requirements that guide our product roadmap.
• Work closely with Energy Engineers and Backend Developers to translate math into reliable, production-grade services that save customers money and CO2.

Requirements

• You are deeply familiar with mathematical optimization.
• You have hands-on experience with solvers for MILP, NLP, or MINLP (e.g., CasADi, Gurobi, Pyomo).
• You have in-depth statistical knowledge and experience in time-series forecasting, specifically handling uncertainty through stochastic modeling.
• 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.
• You enjoy the "messy" reality of hardware.
• You are eager to learn the specifics of heat storage, hydraulic balancing, and electrical constraints to ensure your code works in the real world.
• You can explain the "Why" behind a complex stochastic model to a non-technical stakeholder and lead a brainstorming session on system architecture with ease.

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.
• Direct impact through your job – with us, you can actively contribute to the energy transition and fight against climate change every day.
• We value our team – that's why regular team events are very important to us.
• The best team that Berlin has to offer – and maybe even beyond.