Business Data Scientist, Forecasting, Google Cloud

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.

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X Applicants in San Francisco:
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.

Note:

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

• 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.

• 4 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.

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 planning, directly impacting our ability to deliver exceptional customer support  US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location.

Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

• 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.

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