Build time series forecasting models with Python and SQL as a Data Scientist supporting a fully remote, live energy trading platform in Canada. This Data Scientist role focuses on weather conditions, energy market prices, and electricity grid supply and demand. You will develop quantitative models, analyze datasets, and convert analytical methods into production-ready code. The work supports data-informed trading decisions through reliable forecasting solutions. Key Responsibilities:

Design and refine time series forecasting models Predict weather, energy prices, and grid supply demand Translate algorithms into scalable production-ready code Optimize accuracy through dataset and trend analysis Integrate forecasting solutions with production environments Requirements:

Bachelor's degree or higher in a quantitative discipline At least three years of relevant professional experience Demonstrated time series forecasting experience Robust Python and SQL proficiency Hands-on use of agentic coding tools Apply quantitative expertise, Python, SQL, and forecasting skills to production data science for energy trading decisions.

📌 Remote Energy Forecasting Data Scientist (Winnipeg)
🏢 Jobgether
📍 Winnipeg