Senior Data Scientist, Research, Operations Data Science
Description For Senior Data Scientist, Research, Operations Data Science
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 is part of the Google Climate Operations team, which aims to achieve 24/7 Carbon-Free Energy and Net Zero emissions for global operations by 2030. The position involves collaborating with internal teams to analyze data related to Cloud software usage, resource consumption, and carbon emissions. You'll work on enhancing carbon footprint estimation accuracy, building analytical tools for identifying energy-saving opportunities, and quantifying potential Cloud carbon-efficiency projects. The role offers competitive compensation including base salary, bonus, equity, and benefits. The ideal candidate should have strong analytical skills, experience with data modeling, and a background in energy consumption analysis. This position provides an opportunity to make a significant impact on Google's environmental initiatives while working with cutting-edge cloud technologies.
Responsibilities For Senior Data Scientist, Research, Operations Data Science
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
- Gather information, business goals, priorities, and organizational context around the questions to answer
- Own the process of gathering, extracting, and compiling data across sources via relevant tools
- Collaborate with subject matter experts to combine hardware insights with energy and emissions data to prioritize carbon-reduction efforts in Cloud
- Develop, maintain, support, and enhance models and estimation tools for the energy-use and carbon-footprint of Google Cloud customer workloads
Requirements For Senior Data Scientist, Research, Operations Data Science
- 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
- Experience designing and building optimization, simulation, and probabilistic decision-making models
- Experience designing and building statistical models or physical models for energy consumption
- Experience in the computer hardware industry
Benefits For Senior Data Scientist, Research, Operations Data Science
- Medical Insurance
- Vision Insurance
- Dental Insurance
- Equity
- 401k
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