(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 membership, wellbeing check-ins, and mental health support – your energy matters.
• New Office Vibes: 10th-floor office with rooftop terrace, canteen, great views, ergonomic desks, hardware of your choice, and pet-friendly!
• Sustainable Extras: Deutschlandticket, FutureBens, and more – supporting your mobility and future.

What else?

We look forward to receiving your application. If you have any questions, feel free to reach out - your contact is Kathi (Interim Talent Partner).

You’ll hear back from us within 5 working days of your application. We value your time and want to make the process as transparent as possible. Once we receive your application, we’ll send you a confirmation email outlining the next steps and what you can expect from our interview process.

We can’t wait to meet you!

_suena energy is an equal opportunity employer. We celebrate diversity and reject any form of discrimination. It is important to us to create an inclusive environment for all our team members. Our call for applicants is addressed to all genders. The integration of people with disabilities is an opportunity and not a problem for us, and we welcome their application.

_About Us

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—and where we actively accelerate the energy transition by enabling batteries and renewables to power our grids. With our AI-based optimization and trading software, we maximize the value and market participation of large-scale energy storage and renewable assets in short-term electricity and balancing markets—while minimizing risk for operators.

Our international team of over 40 people combines a supportive, open culture with true startup drive. After our successful Series A, we’re on a strong growth trajectory and continue to expand—impacting the future of energy together every day. At suena, you’ll find the freedom to shape your work, bring your ideas to life, and help accelerate the energy transition as part of a passionate, cross-functional team.

Ready to make a difference?

Find your next challenge with us!

https://www.youtube.com/watch?v=-Dsctj9qh2s