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

Remotely; Hamburg; Vor Ort; EUR 70.000 - 80.000; Vollzeit

Benefits dieser Stelle

Home office

Flexible hours

Urban Sports Club

Rooftop terrace

Pet-friendly office

Deutschlandticket

Zusammenfassung

suena energy in Hamburg is seeking a Senior Data Scientist to build forecasting models that power our algorithmic energy trading platform for wind, solar, and batteries. You will own end-to-end forecasting topics, transform time series data into actionable signals, and collaborate with the Trading team to maximize revenue while managing risk.

The role requires 4 years in time series forecasting and machine learning, with a strong focus on pricing and market forecasting in energy.

Qualifikationen

• 4 years of experience in time series forecasting and machine learning, preferably in production environments (energy, trading, fintech).
• A background in the energy market is essential and highly valued for this role.
• Strong Python and SQL skills; experience with cloud-based ETL pipelines (AWS).
• Proven track record in developing and maintaining forecasting models for non-stationary time series.

Aufgaben

• Build and refine forecasting models that shape trading strategies and maximize revenue from renewables.
• Take end-to-end responsibility for forecasting topics and data workflows.
• Ensure data quality and reliability to base trading decisions on robust information.
• Transform data into insights with analyses and visualizations for the team.
• Collaborate with Trading and other stakeholders to have tangible impact on the business.

Kenntnisse

Time series forecasting

Pricing and market forecasting

Python

SQL

Machine learning

AWS

Jobbeschreibung

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.

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.