Data Scientist, Green Fusion
Energy Tech Start Up
Energy management company
Be an early applicant
Energy management company
21-100 employees
Be an early applicant
21-100 employees
Company mission
To create a new standard for energy management software and to empower the use of renewable energies.
Role
Who you are
- At least three years of professional experience in data science. Familiar with product lifecycles (Feasibility studies, requirement engineering, production-ready tool development, code reviews, feature deployments, continuous maintenance and improvement)
- Strong skills in statistics, data modeling, data analysis and machine learning
- Educational background in: electrical engineering, mechanical engineering, physics or computer science, data science, mathematics with a strong background in energy tech
- Expertise in developing prediction models and working with energy time series data
- Proficient in Python, SQL, GraphQL, REST, and data science libraries like Pandas, SciPy, and Scikit-Learn. Machine Learning Operations skills are a plus
- Hands-on experience with version control systems (Git) and collaborative coding practices
- Testing: Familiarity with testing frameworks and quality assurance practices to ensure robust and reliable product features
- Programming Style: Your code is clean, well-structured, maintainable, and easy to understand for team collaboration
- Communication: You are comfortable collaborating and communicating effectively with energy engineers, frontend and backend developers, and customer success managers
- Customer Focus: A strong understanding of customer needs and how they translate into technical solutions
- Language Skills: Fluent in English, with basic German
What the job involves
- As a Data Scientist, you’ll 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, you’ll bring essential insights to help us develop effective tools for energy optimization
- Data Analysis: Clean and analyze data to identify patterns and trends, uncovering insights that drive our solutions
- Statistical Analysis: Use statistical techniques to interpret data, ensuring the reliability and accuracy of your findings
- Data Science: Create data models to predict heating system behavior and patterns using advanced analytics techniques and machine learning
- Algorithm Development: Create production-ready algorithms and data pipelines to optimize energy system components, reducing CO2 emissions and enhancing energy efficiency
- Collaboration: You will be responsible for the entire process of developing product features, from understanding customer requirements to final feature deployment. This requires seamless collaboration with energy engineers, frontend and backend developers, product and customer success managers
- Research Support: Conduct experimental data analysis to refine and improve energy optimization algorithms
- Clear Communication: Present findings in a concise and understandable manner
- Additional tasks: Support our team in creating data models to predict energy time series data (e.g. heat demand, solar production, electricity consumption) and in optimizing energy systems using machine learning algorithms ((Un)supervised and Reinforcement Learning)
Our take
Founded in 2021, Green Fusion is a Berlin-based cloud platform revolutionising energy management. Designed for the smart control of heat, electricity, and e-mobility, it gives users the power to monitor, control, analyse, and uptimes their systems in real time, from anywhere. By leveraging machine learning, Green Fusion boosts efficiency and offer predicative maintenance to keep systems running at their best.
With backing from top investors like High Rise Ventures and Vireo Ventures, Green Fusion has already gained signficant trust and attention. This funding not only reflects the growing demand for its services but also fuels the company's ambitious plans to further develop its cutting-edge technology and secure its place as a leader in the energy management space.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Jan 2025
$13.7m
SERIES A
Feb 2023
$3.1m
SEED
Total funding: $17.1m
Company HQ
Oberhavel, Hohen Neuendorf, Germany
Leadership
Paul Hock
(Co-Founder & CEO)Hosts the podcast 'Among Founders'. Has interned at Get Hold of It and ANDRITZ HYDRO.
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