Data Scientist*in (f/m/d)

Green Fusion (Berlin): Data Scientist in Energy Tech Start Up - hybrid Berlin based (f/m/d)

Berlin, Germany (hybrid)

Employee

Data Scientist

Tasks

• 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).

Requirements

• Location: You are living in Berlin.

Experience

• 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).

Must haves

• 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.

Technical Knowledge

• 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.

Benefits

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While we are still considered pioneers today, we can soon dominate the market with you! First in the DACH region, then throughout Europe.

We look forward to your application – Fernanda will get in touch with you!