Google Cloud Carbon Footprint product needs to enhance its value by more accurately estimating the energy consumption and carbon emissions of customers' workloads and projects, and by building problem-solving tools to identify energy and carbon-savings opportunities for customers.
Requirements
- coding (e.g., Python, R, SQL)
- querying databases
- statistical analysis
- 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
- Lead data modeling and estimation efforts for our Google Cloud Carbon Footprint product.
- 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.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
- Develop, maintain, support, and enhance models and estimation tools for the energy-use and carbon-footprint of Google Cloud customer workloads.
Other
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
- 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.
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
- 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.
