Senior Business Data Scientist, Forecasting, Google Cloud
Senior Business Data Scientist, Forecasting, Google Cloud
- linkCopy link
- emailEmail a friend
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 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.
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 (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
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, 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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.