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Google is looking to solve challenges for both Google’s internal services and Google Cloud Platform by applying operations research and statistical methods to optimize deployment of resources and drive innovation in the software stack.

Requirements

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• 3 years of experience developing/deploying machine learning and time series forecasting models using statistical software (Python, R).
• PhD in Operations Research, Industrial Engineering, Statistics or related field (preferred).
• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis (preferred).
• Experience designing and building machine learning and statistical forecasting models (preferred).
• Experience with Python, R, SQL

Responsibilities

• Develop, maintain, support, and enhance forecasting and capacity planning tools for centralized storage product planning.
• Lead projects with analysis and modeling, drawing from multiple of analytical methods to choose the right tool and right level of complexity appropriate for the business challenges.
• Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact.
• Identify and communicate the challenges and opportunities that the group should be working on. Help define the analytical direction and influence the direction of the associated engineering and infrastructure work.
• Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations.
• Contribute to the development of critical forecasting and capacity planning tools for Google storage product, as well as other resource efficiency initiatives.
• Think critically and strategically about Google’s cloud as a technology, a business, and as an operation.

Other

• Master's degree or PhD degree in a related field.
• 5 years of experience or 3 years of experience with a PhD degree.
• Excellent problem-framing, problem-solving and project management, customer service and team collaboration skills.
• Ability to work broadly across Google’s Platforms Engineering, Systems Infrastructure, and Site Reliability Engineering teams.
• US work authorization