Business Data Scientist, Forecasting, Google Cloud

Business Data Scientist, Forecasting, Google Cloud corporate_fare Google place Waterloo, ON, Canada Apply Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree. 3 years of experience in data science, with a focus on time series analysis and forecasting. 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: 4 years of experience deploying and maintaining forecasting models in a live production environment. Experience with recent advancements in forecasting, such as foundation models (TimesFM) or deep learning approaches. Experience in a demand planning, contact center, or operational workforce management role. Familiarity with cloud platforms (e.g., Google Cloud Platform) and their AI/ML services (e.g., BigQuery, Vertex AI). Ability to apply judgmental forecasting and incorporate qualitative business adjustments into model outputs, especially for new or unprecedented events. About the job In this role, you will be responsible for developing and maintaining the models that predict our customer support case volume. Your work will be a critical input for the organization's staffing, budgeting, and strategic planning, directly impacting our ability to deliver exceptional customer support at scale. 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, dealing with key accuracy metrics, identifying model drift, and ensuring forecast reliability. Research and implement forecasting techniques to continuously improve model accuracy and capabilities. Partner with Operations, Finance, and leadership stakeholders to understand their planning needs, deliver forecasts, and explain variance drivers. Communicate forecast results and uncertainty to both technical and non-technical audiences to guide strategic decision‑making. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr