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Anforderungen

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? - People at the Core: Clear structures, democratic decisions, and a feedback culture where your voice counts. - Shape the Future: Contribute to the energy transition by working on sustainable energy solutions in a growing market environment. - Connecting & Co-Creating: Strategy off-sites 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. - Good Vibes: Yoga, shared lunches, after-work fun – we keep the energy up, even when it’s busy. - Body & Mind: Urban Sports Club or Wellpass – your choice. Plus wellbeing check-ins and mental health support via nilo.health – your energy matters. - New Office: 10th-floor office with rooftop terrace, canteen, great views, ergonomic desks, hardware of your choice, and a pet-friendly environment. - Sustainable Extras: Subsidized Deutschlandticket, JobRad, Givve Card and more – supporting your mobility and everyday life.

What else? We look forward to receiving your application. If you have any questions, feel free to reach out - your contact is Aytac (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.

Zur Position

Intro Hamburg | €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 - 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. We re a 60+ person team that s fast-paced by nature, but the kind of place where people actually look out for each other.

Following our successful Series A, we re investing in expanding our team. 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.