Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 70.000 to 80.000€ Gross/Year
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop accurate forecasting models that are crucial for trading strategies and analyze complex time series data to enable data-driven decision-making.
Job Technologies
Your role in the 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.
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Our expectations of you
Qualifications
- 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.
Experience
- 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).
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What we offer
- Hamburg Hybrid | €70,000.00 - €80,000.00 p.a. (40 hrs/week) | 30 Days Vacation | English B2
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
suena
suena GmbH, based in Hamburg, develops innovative AI-based solutions for marketing battery storage systems and renewable energies. Their Energy Trading Autopilot optimizes trading decisions in real-time and offers comprehensive services.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
Senior Data Scientist Forecasting
- Salary
- 70.000 to 80.000€ Gross/Year
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
