Senior 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 across various products, regions, and channels.
• Build and automate scalable data pipelines to ensure timely and reliable data for model training and inference.
• Monitor and evaluate model performance continuously, tracking key accuracy metrics, identifying model drift, and ensuring forecast reliability.
• Partner with operations, finance, and leadership stakeholders to understand their planning needs and deliver forecasts.
• Communicate forecast results and uncertainty to both technical and non-technical audiences.

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 years of experience in data science with a specific focus on time series analysis and forecasting.
• Experience with Python or R programming with relevant forecasting libraries.
• Experience in causal inference, A/B testing, statistical modeling, or machine learning.
• Experience with a range of forecasting methods, from classical statistical models to machine learning approaches.

Preferred qualifications:

• PhD degree in a relevant quantitative field.
• 6 years of experience deploying and maintaining forecasting models in a live production environment.
• Experience with recent advancements in forecasting, such as foundation models or deep learning approaches.
• Familiarity with cloud platforms, preferably Google Cloud Platform.