Public summary
Join a fast-growing green tech startup in Hamburg as a Senior Data Scientist specializing in forecasting for renewable energy markets. Contribute your expertise to build and improve forecasting models that optimize trading strategies for wind, solar, and battery assets. Work within a supportive, international team leveraging Python, SQL, and AWS technologies to accelerate the energy transition.
Location and work setup
- Location
- Hamburg
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Salary
EUR 70000.00 - 80000.00 year
Responsibilities
Develop and refine advanced forecasting models for pricing and market predictions impacting energy trading strategies. Manage end-to-end forecasting processes and ensure data workflow reliability. Analyze complex time series data and deliver actionable insights and visualizations. Collaborate closely with trading teams and stakeholders to ensure forecasting models decisively impact business and energy system operations.
Qualifications
4+ years experience in time series forecasting and machine learning, preferably in energy, trading, or fintech sectors. In-depth knowledge of energy markets essential. Strong proficiency in Python and SQL, with experience in cloud-based ETL pipelines, ideally AWS. Proven ability to maintain forecasting models for non-stationary time series in production environments. Proactive, pragmatic communicator with a strong sense of ownership from concept through production and ongoing improvement.