Google's Operations Data Science (ODS) team is seeking a Senior Data Scientist to lead data modeling and estimation efforts for their Google Cloud Carbon Footprint product. This role sits within the Google Climate Operations team, which is responsible for achieving Google's ambitious 24/7 Carbon-Free Energy and Zero emissions goals by 2030.
The position offers an exciting opportunity to make a significant impact on environmental sustainability through data science. You'll be working at the intersection of cloud computing and environmental impact, developing sophisticated models to estimate energy consumption and carbon emissions of cloud workloads. The role involves collaborating with various internal teams to gather and analyze data related to Google Cloud software usage, resource consumption, and carbon emissions.
As a Senior Data Scientist, you'll be responsible for enhancing the Google Cloud Carbon Footprint product by developing more accurate estimation models for customers' workloads and projects. You'll build problem-solving tools to identify energy and carbon-savings opportunities, quantify the potential impact of carbon-efficiency projects, and help prioritize Cloud features that enable customers to reduce their emissions.
The role requires strong technical skills in Python, R, and SQL, combined with expertise in statistical modeling and data analysis. You'll need to be comfortable working with complex datasets and translating business questions into tractable analysis and mathematical models. The position offers competitive compensation ($166,000-$244,000 + bonus + equity + benefits) and the opportunity to work from several major tech hubs including San Francisco, New York, or Sunnyvale.
This is an ideal role for someone who wants to combine technical expertise with environmental impact, working on meaningful projects that contribute to Google's sustainability goals while helping cloud customers understand and reduce their carbon footprint. The position offers the chance to work with cutting-edge technology and data while making a real difference in the fight against climate change.