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
• Incorporate agentic coding tools into daily development workflows
• Work with data pipelines, analytical systems, and production environments
• Communicate technical findings and collaborate with distributed teams

🎯 Requirements

• Bachelor's degree or higher in Mathematics, Econometrics, Physics, Engineering, or a related
• At least three years of relevant professional experience in data science, quantitative analysis
• Demonstrated experience developing and applying time series forecasting models
• Strong proficiency in Python and SQL
• Experience with Go considered an advantage
• Regular hands-on use of agentic coding tools

🎁 Benefits

• Fully remote work
• International collaboration
• Meaningful technical impact
• Advanced data science challenges
• Modern development practices
• Professional growth