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.

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