About the Company:
Maple Data Analytics operates in the Data Analytics and Business Intelligence industry, providing enterprises with data-driven insights and intelligent forecasting solutions. The company leverages AI and machine learning to create predictive models that drive business growth and efficiency.

Location: Toronto, Ontario, Canada
Employment Type: Full-time
Experience Level: Senior-level (5+ years)

Role Overview:
As a Predictive Analytics Engineer, you will architect and deploy machine learning pipelines and forecasting models that empower clients to make data-backed strategic decisions.

Key Responsibilities:
• Build, train, and deploy predictive models using Python and machine learning frameworks.
• Develop automated ETL and data processing pipelines.
• Work with large, complex datasets to uncover insights and trends.
• Partner with data scientists, analysts, and business stakeholders to integrate analytics into client operations.
• Optimize model performance and ensure scalability in production environments.
• Conduct A/B testing and post-model evaluation to refine predictions.

Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or Applied Mathematics.
• 5+ years of experience in predictive analytics or ML engineering.
• Proficiency in Python, TensorFlow, or scikit-learn.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Strong mathematical foundation in statistics and time-series modeling.

What We Offer:
• Access to high-performance computing resources and cloud infrastructure.
• Professional development through data science certifications.
• Collaborative team culture focused on continuous innovation.
• Competitive compensation and growth opportunities.