Data Scientist (Time Series Forecasting)

📋 Description

• Design, develop, and refine forecasting models for weather conditions, energy market prices, and
• Translate forecasting algorithms and analytical models into robust, scalable, production-ready code
• Analyze relevant datasets, identify patterns and trends, and improve forecasting accuracy to
• Incorporate agentic coding tools into daily development workflows to accelerate implementation
• Work with data pipelines, analytical systems, and production environments to ensure forecasting
• Communicate technical findings, explain forecasting approaches, and collaborate effectively with

🎯 Requirements

• Bachelor's degree or higher in Mathematics, Econometrics, Physics, Engineering, or another closely
• At least three years of relevant professional experience in data science, quantitative analysis
• Demonstrated experience developing and applying time series forecasting models, with the ability to
• Strong proficiency in Python and SQL for data analysis, model development, and production
• Regular, hands-on use of agentic coding tools as part of your daily development workflow, with the
• Excellent English communication skills, including the ability to explain technical concepts clearly

🎁 Benefits

• Work remotely from anywhere in a distributed team environment.
• Opportunity to contribute to a global energy trading platform and collaborate with professionals
• Develop forecasting solutions that support real-world energy market decisions and operational
• Work on practical applications of time series forecasting involving weather, market prices, and
• Use agentic coding tools and contemporary development workflows to improve productivity and
• Strengthen your expertise in quantitative modeling, production-grade data science, and applied