Data Scientist, Cloud Demand Forecasting & Capacity

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

Job summary

Google is seeking a Research Data Scientist for Cloud Demand Forecasting and Capacity Planning in Atlanta, GA. You will build and refine forecasting models to optimize Google Cloud's compute, storage, and ML product demand and capacity planning, collaborating with engineers, PMs, and other data scientists.

The role emphasizes deploying advanced ML models and applying operations research methods to forecast demand and guide capacity decisions, with a focus on efficient infrastructure use and

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.

Responsibilities

• Develop, maintain, and improve forecasting models and capacity 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.

Skills

Python

R

SQL

Education

Master's degree in Statistics/Data Science/Math/Physics/Economics/OR related field

PhD in Operations Research/Industrial Engineering/Statistics or related field

Tools

Python

R

SQL

Job description

Google is seeking a Research Data Scientist for Cloud Demand Forecasting and Capacity Planning in Atlanta, GA. You will build and refine forecasting models to optimize Google Cloud's compute, storage, and ML product demand and capacity planning, collaborating with engineers, PMs, and other data scientists.

The role emphasizes deploying advanced ML models and applying operations research methods to forecast demand and guide capacity decisions, with a focus on efficient infrastructure use and