Hamburg Hybrid | €70.000,00 - €80.000,00 p.a. (40 hrs/week) | 30 Days Vacation | English B2 Are you enthusiastic about intelligent and effective software solutions to the energy transition? Join us at suena energy as ( Senior) Data Scientist (f/m/x) and become part of the invisible engine room that ensures wind, solar, and battery parks become true powerhouses on the grid. suena energy is a green tech startup specializing in algorithmic energy trading for energy storage systems and renewables. Our vision: a world where clean energy is used reliably, economically, and intelligently. Our AI-powered software maximizes the revenues of large-scale energy storage and renewable assets on European short-term power markets - while minimizing risk. We’re a team of 43 people, combining a warm, supportive team culture with true startup drive. Following our successful Series A, we’re investing in expanding our team – and we’re excited to strengthen our team with new talent and continue growing together. Our Data Science team brings together a mix of experience levels, from working students to seasoned experts, combining fresh perspectives with deep technical know-how. Together, we focus on building a robust forecasting engine to deliver accurate price and market predictions - empowering our trading platform and supporting the energy transition. Our Tech Stack: Python, SQL, AWS, relational databases, Grafana, GitLab. Build and refine the forecasting models that directly shape our trading strategies and maximize the value of renewable energy in the market. Take end-to-end responsibility for forecasting topics and data workflows—your work will help turn complex time series data into actionable signals for real-time trading. Safeguard the quality and reliability of our data foundation, ensuring that every trading decision is based on robust, accurate, and timely information. Transform data into insights: deliver analyses and visualizations that empower the team to make smarter, faster, and more profitable decisions. Work side-by-side with our Trading team and other stakeholders, making sure your models and insights have direct, visible impact on our business and the energy system. 4+ years of experience in time series forecasting and machine learning, ideally with a focus on pricing and market forecasting in production environments (energy, trading, fintech, etc.). A background in the energy market is essential – this is where your expertise will make the biggest difference. Strong Python and SQL skills; experience with cloud-based ETL pipelines (preferably AWS). Proven track record in developing and maintaining forecasting models for non-stationary time series. You bring a proactive, pragmatic mindset; communicating clearly, delivering on commitments and focusing on what drives real results. You take genuine responsibility for your topics; from concept to production and ongoing improvement - and enjoy seeing your work make a tangible impact. You are reliable, pragmatic and communicate clearly in a collaborative team.