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 modelsPredict weather, energy prices, and grid supply demandTranslate algorithms into scalable production-ready codeOptimize accuracy through dataset and trend analysisIntegrate forecasting solutions with production environmentsRequirements:
Bachelor's degree or higher in a quantitative disciplineAt least three years of relevant qualified experienceDemonstrated time series forecasting experienceStrong Python and SQL proficiencyHands-on use of agentic coding toolsApply quantitative expertise, Python, SQL, and forecasting skills to production data science for energy trading decisions.
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📌 Remote Energy Forecasting Data Scientist (Winnipeg)
🏢 Jobgether
📍 Winnipeg