Meteorological Data Scientist

Vitus Commodities actively trades electricity and natural gas contracts in global markets. We are seeking a Meteorological Data Scientist / Quantitative Analyst to join our computational meteorology team to support energy trading operations.

Job Description

As a Meteorological Data Scientist / Quantitative Analyst, you will develop and maintain robust analytical models, transforming large-scale meteorological data into actionable insights for renewable energy forecasting and market strategy. This is a collaborative, fast-paced environment at the intersection of data science, meteorology, and energy markets.

Key Responsibilities

• Develop and maintain statistical and machine learning models for energy forecasting and market analysis
• Build and optimize ETL pipelines for meteorological data ingestion, feature engineering, and storage
• Transform large and diverse datasets into actionable business insights
• Monitor, evaluate, and improve model performance and data reliability
• Design and write highly efficient, optimized code with a focus on minimizing latency and maximizing computational performance
• Contribute to the automation and reliability of our data and modeling infrastructure
• Collaborate effectively within a technical team and support innovation in analytics and modeling

Qualifications