Business Data Scientist, Forecasting, Google Cloud

This role is based in Waterloo, ON, Canada.

Responsibilities:

• Develop, deploy, and maintain time series forecasting models to predict customer support case volumes.
• Build and automate scalable data pipelines for model training and inference.
• Monitor model performance and implement forecasting techniques for accuracy improvement.
• Collaborate with Operations and Finance to deliver forecasts and explain variance drivers.
• Communicate forecast results to technical and non-technical audiences.

Minimum qualifications:

• Master's degree in a quantitative discipline or equivalent experience.
• 3 years of experience in analytics and data science, focusing on time series analysis.
• Experience in causal inference, A/B testing, and statistical modeling.

Preferred qualifications:

• 4 years of experience deploying forecasting models in production.
• Familiarity with cloud platforms and AI/ML services.