Our partner is looking for a Data Scientist (Time Series Forecasting) based in Canada.

Join a data-driven team developing advanced forecasting solutions that power a live energy trading platform. Your work will directly support data-informed trading decisions by transforming analytical models into reliable, production-ready code. You will collaborate in a fully remote, distributed environment where quantitative expertise, technical excellence, and practical problem-solving are highly valued. Leveraging Python, SQL, and modern AI-powered coding tools, you will help bridge the gap between sophisticated forecasting techniques and real-world business applications. This opportunity is ideal for a hands-on data scientist who enjoys solving complex prediction challenges and delivering measurable impact in the evolving energy sector.

Data Analysis & Model Optimization: Analyze relevant datasets, identify patterns and trends, and improve forecasting accuracy to support reliable, data-driven trading decisions.

AI-Assisted Development: Incorporate agentic coding tools into daily development workflows to accelerate implementation, improve productivity, and support efficient software development.

Technical Integration: Work with data pipelines, analytical systems, and production environments to ensure forecasting solutions are reliable, maintainable, and suitable for operational use.

Cross-Functional Collaboration: Communicate technical findings, explain forecasting approaches, and collaborate effectively with distributed teams to align model development with business and platform requirements.

Educational Background: Bachelor's degree or higher in Mathematics, Econometrics, Physics, Engineering, or another closely related quantitative discipline.





Professional Experience: At least three years of relevant skilled experience in data science, quantitative analysis, forecasting, or a related field.

Programming Skills: Strong proficiency in Python and SQL for data analysis, model development, and production implementation. Agentic Coding Tools: Regular, hands-on use of agentic coding tools as part of your daily development workflow, with the ability to integrate AI-assisted techniques effectively into software development.

Excellent English communication skills, including the ability to explain technical concepts clearly and collaborate with stakeholders in a remote, international environment.

Strong quantitative reasoning, attention to detail, and a practical approach to addressing complex forecasting challenges and improving model performance.

Experience working with energy markets, electricity trading, power grid data, or weather datasets is a plus.

Fully Remote Work: Work remotely from anywhere in a distributed team environment.

International Collaboration: Opportunity to contribute to a global energy trading platform and collaborate with professionals across different locations.

Meaningful Technical Impact: Develop forecasting solutions that support real-world energy market decisions and operational trading activities.

Advanced Data Science Challenges: Work on practical applications of time series forecasting involving weather, market prices, and electricity supply and demand.

Modern Development Practices: Use agentic coding tools and contemporary development workflows to improve productivity and streamline model implementation.

Strengthen your expertise in quantitative modeling, production-grade data science, and applied forecasting in the energy sector.

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📌 Data Scientist (Remote) (Montreal)
🏢 Jobgether
📍 Montreal