(Senior) Data Scientist (m/f/d) - Energy Tech Start Up

• Clean and analyze data to identify patterns and trends, uncovering insights that drive solutions.
• Apply statistical techniques to interpret data, ensuring reliability and accuracy of findings.
• Build data models to predict heating system behavior and patterns using advanced analytics and machine learning.
• Develop production-ready algorithms and data pipelines to optimize energy system components, reduce CO₂ emissions, and enhance energy efficiency.

This role helps combat climate change by developing algorithms that optimize heating systems, reducing emissions and energy consumption while actively advancing the energy transition.

• Strong skills in statistics, data modeling, data analysis, and machine learning.
• Educational background in electrical engineering, mechanical engineering, physics, computer science, data science, or mathematics with solid foundation in energy technologies.
• Proficient in Python, SQL, GraphQL, REST, and data science libraries like Pandas, SciPy, and Scikit-Learn.
• Hands-on experience with version control systems like Git and collaborative coding practices.

Flexible working hour models, home office, and remote work. Ongoing training opportunities through job challenges, open feedback culture, or sponsored training programs. Employee benefits such as Urban Sports Club or Become1. Regular team events and a motivated, open-minded, dynamic environment passionate about shaping the energy transition.

Green Fusion develops software that optimizes heating systems in the real estate sector to combat climate change through digitalization and automation, reducing emissions and energy consumption to advance the energy transition.