Digitalization and energy transition in one sentence
Thats what we do at Green Fusion!
Our software optimizes heating systems in the real estate sector helping to combat climate change through digitalization and automation. We reduce emissions and energy consumption actively advancing the energy transition.
As a (Senior) Data Scientist youll support our Energy Optimization Team by developing production-ready algorithms that optimize heating system operations. With a basic understanding of heating systems and strong expertise in control technology youll bring essential insights to help us develop effective tools for energy optimization.
Tasks
- You clean and analyze data to identify patterns and trends uncovering insights that drive our solutions.
- You apply statistical techniques to interpret data ensuring the reliability and accuracy of your findings.
- You build data models to predict heating system behavior and patterns using advanced analytics and machine learning.
- You develop production-ready algorithms and data pipelines to optimize energy system components reduce CO emissions and enhance energy efficiency.
- Youre responsible for the full development cycle of product features from understanding customer requirements to final deployment collaborating closely with energy engineers frontend and backend developers and product and customer success managers.
- You analyze experimental data to refine and improve energy optimization algorithms.
- You present your findings in a clear concise and understandable way.
- You support the team in creating data models for predicting energy time series data (e.g. heat demand solar production electricity consumption) and in optimizing energy systems using machine learning techniques including supervised unsupervised and reinforcement learning.
Requirements
- You are familiar with full product lifecycles from feasibility studies and requirement engineering to production-ready tool development code reviews feature deployments and ongoing maintenance and improvement.
- You bring strong skills in statistics data modeling data analysis and machine learning.
- You have an educational background in electrical engineering mechanical engineering physics computer science data science or mathematics with a solid foundation in energy technologies.
- You have expertise in developing prediction models and working with energy time series data.
- You are proficient in Python SQL GraphQL and REST and you work confidently with data science libraries like Pandas SciPy and Scikit-Learn. Experience with Machine Learning Operations (MLOps) is a plus.
- You have hands-on experience with version control systems like Git and follow collaborative coding practices.
- You are familiar with testing frameworks and quality assurance processes to ensure robust reliable product features.
- Your code is clean well-structured maintainable and easy for others to understand and build upon.
- You are comfortable collaborating and communicating effectively with energy engineers developers (frontend and backend) and customer success managers.
- You have a strong understanding of customer needs and know how to translate them into technical solutions.
- You are fluent in English and have a basic command of German.
- You are living in Berlin.
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 thats why regular team events are very important to us.
The best team that Berlin has to offer and maybe even beyond. Dont believe it Then find out for yourself and apply now!
While we are still considered pioneers today we can soon dominate the market with you! First in the DACH region then throughout Europe.
You can expect a motivated open-minded and dynamic environment that is passionate and ambitious about actively shaping the energy transition a goal that can only be achieved together!
We look forward to your application Fernanda will get in touch with you!