Data Scientist (m/w/d)
Core
Develop forecasting models for energy prices and volumes using time series analysis and machine learning to support trading decisions and arbitrage evaluation.
Role type
Data Scientist (Energy Markets)
Builds
Production forecasting models and data pipelines for energy trading strategies
Domain
Energy sector / Financial markets
Deliverable
production ML models
Required skills
Python, time series analysis, machine learning, SQL, cloud platforms (Azure), data engineering (Snowflake, dbt), statistical modeling
Preferred skills
Energy sector experience, algorithmic trading knowledge
Technologies
Azure, Azure Machine Learning, MLflow, Snowflake, dbt, Python
Responsibilities
Build and deploy forecasting models for energy prices and volumes; collect, clean, and transform data from diverse sources (power exchanges, weather, IoT); support trading decisions via algorithmic trading or arbitrage analysis; visualize analysis results for traders, management, and IT using BI tools
Seniority
Mid-Senior, hands-on IC