Energy Data Scientist - Real-Time Forecasting & Control

Companion.energy; Gent; Sur place; EUR 70 000 - 120 000; Plein temps

Résumé du poste

Companion.energy is hiring a Data Scientist to develop forecasting, optimization, and control algorithms at the core of its platform for large enterprises. You will work on energy demand forecasting, market price prediction, and real-time asset control, enabling second-by-second decisions that move megawatts and billions in value.

You will implement models and controllers, deploy them to production, and work with a small team to shape the data, ML, and control strategy for a flexible, renewable

Qualifications

• Background in ML and forecasting for time-series data.
• Experience with deployment of ML models in production.
• Familiarity with energy systems and markets is a plus.

Responsabilités

• Develop forecasting models for energy demand and market prices.
• Design control algorithms for real-time asset dispatch.
• Build optimization pipelines under uncertainty across portfolios.
• Deploy models to production and monitor performance.

Connaissances

Time series forecasting

Machine learning

Statistical modeling

Python

Real-time decision-making

Optimization

Model predictive control

Stochastic optimization

Outils

pandas

NumPy/SciPy

scikit-learn

PyTorch

Description du poste

Companion.energy is hiring a Data Scientist to develop forecasting, optimization, and control algorithms at the core of its platform for large enterprises. You will work on energy demand forecasting, market price prediction, and real-time asset control, enabling second-by-second decisions that move megawatts and billions in value.

You will implement models and controllers, deploy them to production, and work with a small team to shape the data, ML, and control strategy for a flexible, renewable