The Research Data Scientist role focuses on cloud demand forecasting and capacity planning at Google. As part of the Cloud Capacity Data Science team, the individual will develop and improve forecasting models to support business objectives. The position requires collaboration with engineers and product managers to optimize infrastructure usage and ensure a high-quality experience for customers. The role involves applying advanced analytics and operations research methods to solve complex problems related to cloud products.

• 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.
• PhD in Operations Research, Industrial Engineering, Statistics or related field is preferred.
• 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 as a data scientist, including experience applying advanced analytics to planning and infrastructure problems.

• 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.
• Generate methodologies required to solve ambiguous problems and take ownership of the solution.
• Communicate and work with engineers and subject matter experts to integrate with a cross-disciplinary team.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.