Research Data Scientist, Cloud Demand Forecasting and Capacity Planning

Google; Thornton (CO); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking a data scientist to drive forecasting and capacity planning for Cloud's compute, storage, and ML products. You will develop scalable models, forecast demand, and enable efficient use of infrastructure while aligning with business goals.

As part of the CCDS team, you will deploy advanced ML models and OR-based algorithms, working with engineers, PMs, and data scientists to deliver high-quality solutions at scale.

Qualifications

• Master's degree in a quantitative field.
• 3 years of work experience in analytics, coding, and data querying.

Responsibilities

• Develop, maintain, and improve forecasting models and capacity planning solutions to support Cloud's business objectives.
• Make efficient use of Cloud's infrastructure, while achieving service level objectives for Cloud's customers.
• Make larger, mostly independent, technical contributions by completing end-to-end tasks with minimal assistance.
• Generate methodologies to solve ambiguous problems and own the solution, including launches and cross-functional work.
• Communicate with engineers and subject matter experts to integrate with a cross-disciplinary team and apply data science methods.

Skills

Python

R

SQL

Statistical analysis

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field

Job description

The application window will be open until at least October 1, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

In most instances, this position requires in-person interviews as part of the hiring process.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Thornton, CO, USA.

Minimum qualifications

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications

• PhD in Operations Research, Industrial Engineering, Statistics or related field.
• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
• 4 years of relevant experience (e.g., as a data scientist), including experience applying advanced analytics to planning and infrastructure problems.
• Experience designing and building statistical forecasting models.
• Experience designing and building machine learning models.
• Excellent problem-framing, problem-solving and project management skills.

About The Job

Drive the inventory efficiency, obtainability, and growth of Google Cloud’s compute, storage, and ML products through scalable data science solutions for forecasting organic and inorganic demand, planning and managing capacity, and developing product innovations.

As a data scientist on the CCDS (Cloud Capacity Data Science) team, you will develop, maintain, and improve forecasting models and capacity solutions to support Cloud's business objectives. Our customers want a high-quality experience when obtaining and using Google Cloud's infrastructure to run their workloads. Your challenge on most projects will be to enable Cloud to efficiently use its infrastructure and to ensure a high-quality obtainability experience for our customers. You will deploy and contribute to advanced machine-learning models that forecast the organic and inorganic demand for our many Cloud products. In this role, you will also use advanced operations research methods to develop algorithms that recommend actions based on our forecasts of future demand. In addition, you will collaborate with a larger multi-disciplinary team of engineers, program managers, and product managers to optimize our fast-growing fleet's massive scale and flexible configuration.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google.

• Develop, maintain, and improve forecasting models and capacity planning solutions to support Cloud's business objectives.
• Make efficient use of Cloud's infrastructure, while achieving service level objectives for Cloud's customers.
• Make larger, mostly independent, technical contributions by consistently executing and finishing end-to-end tasks towards a larger goal with minimal assistance from team members.
• Generate the methodologies required to solve ambiguous problems, and take ownership of the solution, often involving many different activities beyond analysis such as supporting launches, working cross-functionally, and creating documentation.
• Communicate and work with engineers and subject matter experts to become fully integrated with a cross-disciplinary team. Demonstrate working knowledge of data science and related technical areas of the organization, identified as a Google individual contributor by team organizers and leaders.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .