Data Scientist

Data Scientist

Toronto, Ontario, Canada  - Contract


Job Description

We are seeking a Data Scientist with expertise in time series forecasting models and a strong experience in Python programming, including object-oriented programming (OOP). The ideal candidate will also have a basic understanding of APIs, and experience or familiarity with Large Language Models (LLMs) is a plus. This role will focus on developing and optimizing forecasting models to drive strategic decisions and improve operational efficiency.

Key Responsibilities:
• Design, develop, and implement advanced forecasting models, including but not limited to Prophet, ARIMA, and LSTM, to solve commodity price forecasting problems.
• Analyze and preprocess time series data, ensuring data quality, feature engineering, and proper handling of missing or noisy data.
• Conduct model performance evaluation using appropriate metrics and continuously refine models to enhance accuracy and reliability.
• Develop reusable, modular, and efficient code using Python, adhering to best practices in object-oriented programming (OOP).
• Collaborate with cross-functional teams to integrate forecasting outputs into decision-making processes, dashboards, and operational workflows.
• Document methodologies, results, workflows, and API integrations for internal and external stakeholders.


Must Have Skills:

Qualifications:
• Proven experience in designing and implementing forecasting models such as Prophet, ARIMA, and LSTM.
• Proficiency in Python, with strong skills in object-oriented programming (OOP) and software engineering practices.
• Basic understanding of APIs, including the ability to build and consume them for model deployment or data integration.


Details:

Starting: ASAP







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