
Senior Data Scientist, Research, Operations Data Science
- Sunnyvale, CA
- Permanent
- Full-time
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
- 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.
- 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.
- 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.
- 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.
- 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.