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The Google Climate Operations team is responsible for ensuring Google achieves 24/7 Carbon-Free Energy and Zero emissions for our global operations and value chain by 2030. The team works cross-functionally across our global operations and hardware supply chains to develop and scale new solutions on energy and carbon. It also leads efforts to create the external market environments necessary to drive decarbonization in a way that facilitates these goals and enables others to do so as well. The role will work to enhance the value of the Google Cloud Carbon Footprint by more accurately estimating the energy consumption and carbon emissions of customers' workloads and projects.

Requirements

• 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 3 years of work experience with a PhD degree.
• Experience in designing and building optimization, simulation, and probabilistic decision-making models.
• Experience in designing and building statistical models or physical models for energy consumption.
• Experience in the computer hardware industry.

Responsibilities

• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
• Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
• Develop, maintain, support, and enhance models and estimation tools for the energy-use and carbon-footprint of Google Cloud customer workloads.
• Collaborate with internal teams to gather, analyze, and interpret data related to Google Cloud software usage, resource consumption, energy consumption, and carbon emissions.
• Build problem-solving tools to clearly identify energy and carbon-savings opportunities for customers.
• Quantify the opportunity size of potential Cloud carbon-efficiency projects and prioritize these to build Cloud features that help customers reduce their emissions.

Other

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer.
• Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
• Collaborate with subject matter experts to combine hardware insights with energy and emissions data to prioritize carbon-reduction efforts in Cloud.
• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.