Job
- Level
- Senior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- 70.000 bis 80.000€ Brutto/Jahr
- Ort
- Hamburg
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du präzise Prognosemodelle, die entscheidend für Handelsstrategien sind, und analysierst komplexe Zeitreihendaten, um datengestützte Entscheidungen zu ermöglichen.
Job Technologien
Deine Rolle im Team
- 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.
Unsere Erwartungen an dich
Qualifikationen
- A background in the energy market is essential - this is where your expertise will make the biggest difference.
- 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.
Erfahrung
- 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.).
- Strong Python and SQL skills; experience with cloud-based ETL pipelines (preferably AWS).
Unser Angebot
- Hamburg Hybrid | €70.000,00 - €80.000,00 p.a. (40 hrs/week) | 30 Days Vacation | English B2
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
suena
Die suena GmbH, ansässig in Hamburg, entwickelt innovative KI-gestützte Lösungen zur Vermarktung von Batteriespeichersystemen und erneuerbaren Energien. Ihr Energy Trading Autopilot optimiert Handelsentscheidungen auf Strommärkten und bietet umfassende Dienstleistungen an.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Energiewirtschaft, Umwelt
Senior Data Scientist Forecasting
- Gehalt
- 70.000 bis 80.000€ Brutto/Jahr
- Ort
- Hamburg
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
