Remote Data Scientist — Time Series Forecasting for Energy

Jobgether; Belgique; À distance; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Fully Remote

International collaboration

Impactful work

Challenging problems

Modern tooling

Professional growth

Résumé du poste

Jobgether in Belgium is seeking a hands-on Data Scientist (Time Series Forecasting) to join a partner company powering a live energy trading platform. You will build and optimize time series models to predict weather conditions, energy market prices, and grid supply and demand, and translate forecasts into production-ready code.

The role offers a fully remote, international team with emphasis on quantitative excellence, AI-assisted tooling, and practical impact in the evolving energy sector.

Qualifications

• Bachelor's degree or higher in mathematics, econometrics, physics, engineering, or a related quantitative discipline.
• At least three years of professional experience in data science, forecasting, or related fields.
• Experience with time series forecasting models and practical translation to solutions.
• Strong Python and SQL skills; Go is a plus.
• Experience using agentic coding tools in daily development workflows.
• Excellent English communication in a remote, international setting.

Responsabilités

• Design, develop, and refine forecasting models for weather, energy prices, and grid supply/demand.
• Translate forecasting algorithms into robust production-ready code for a live energy trading platform.
• Analyze data, identify patterns, and improve forecasting accuracy for reliable trading decisions.
• Integrate agentic coding tools into the development workflow to boost productivity.
• Collaborate with distributed teams to align model development with business and platform needs.

Connaissances

Time Series Forecasting

Python

SQL

Go

Agentic coding tools

English communication

Formation

Bachelor's degree or higher in a quantitative field

Outils

Python

SQL

Go

Description du poste

Jobgether in Belgium is seeking a hands-on Data Scientist (Time Series Forecasting) to join a partner company powering a live energy trading platform. You will build and optimize time series models to predict weather conditions, energy market prices, and grid supply and demand, and translate forecasts into production-ready code.

The role offers a fully remote, international team with emphasis on quantitative excellence, AI-assisted tooling, and practical impact in the evolving energy sector.