Senior Business Data Scientist, Forecasting, Google Cloud

Senior Business Data Scientist, Forecasting, Google Cloud

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

By applying to this position you will have an opportunity to share your preferred working location from the following:
Austin, TX, USA;
Sunnyvale, CA, USA;
San Francisco, CA, USA
.

• 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 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 forecasting methods, from classical statistical models to machine learning approaches.

• 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.
• 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., Big Query, Vertex AI).
• Ability to apply judgmental forecasting and incorporate qualitative business adjustments into model outputs, especially for new or unprecedented events.

• 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, and researching and implementing forecast 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 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.

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. Google is not responsible for any fees related to unsolicited resumes.