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Develop data pipelines and modeling tools that help Google improve its measurements and forecasts of carbon emissions, and build optimizations and simulation tools to help Google develop a greenhouse gas reduction strategy.

Requirements

• coding (Python, R, SQL)
• Experience with AI/ML.
• Experience in designing and building statistical forecasting models.

Responsibilities

• Develop, maintain, support, and enhance custom estimation and forecasting tools for the energy-use and carbon-footprint of Google’s AI machine infrastructure.
• Develop data pipelines and modeling tools that help Google improve its measurements and forecasts of carbon emissions.
• Build optimizations and simulation tools to help Google develop a greenhouse gas reduction strategy to a range of possible future scenarios.
• Drive analysis and modeling, drawing from multiple investigative methods and choosing the right method and level of complexity appropriate for the business issues.

Other

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years work experience and Master's degree.
• Experience in energy and climate domain or greenhouse gas accounting.
• San Francisco, CA, USA; Sunnyvale, CA, USA