Data Scientist (Time Series Forecasting)

📋 Description

• Time Series Forecasting: Design, develop, and refine forecasting models for weather conditions
• Production Model Development: Translate forecasting algorithms and analytical models into robust
• Data Analysis & Model Optimization: Analyze relevant datasets, identify patterns and trends
• AI-Assisted Development: Incorporate agentic coding tools into daily development workflows to
• Technical Integration: Work with data pipelines, analytical systems, and production environments to
• Cross-Functional Collaboration: Communicate technical findings, explain forecasting approaches, and

🎯 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

• Fully Remote Work: Work remotely from anywhere in a distributed team environment.
• International Collaboration: Opportunity to contribute to a global energy trading platform and
• Meaningful Technical Impact: Develop forecasting solutions that support real-world energy market
• Advanced Data Science Challenges: Work on practical applications of time series forecasting
• Modern Development Practices: Use agentic coding tools and contemporary development workflows to
• Professional Growth: Strengthen your expertise in quantitative modeling, production-grade data