(Senior) Data Scientist (f/m/x) Forecasting

Intro

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.

Your mission

• 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.

Your profile

• 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.

Why us?

• Shape the Future: Help drive the energy transition with us! Join a booming market, real startup spirit, and make your mark in sustainability.
• Connecting & Co-Creating: Strategy off-sites (like Denmark 2024) and onsite weeks for real collaboration and shared ideas.
• Work Your Way: Home office and flexible hours – you know what works best for you and your team.
• Team Spirit: Yoga, shared lunches, after-work fun – we support each other and keep the vibe strong, even when it’s busy. Barista, DJ, guitarist included – we can’t wait to discover your hidden talent!
• Fair & Transparent: Clear structures, democratic decisions, and a feedback culture where your voice counts.
• Body & Mind: Urban Sports Club membersh