Data Scientist, Research, Storage Analytics
Description For Data Scientist, Research, Storage Analytics
Google is seeking a Data Scientist for their Research and Storage Analytics team. The role focuses on optimizing Storage use through resource abstraction, policy direction, system simplification, and algorithmic optimizations. The ideal candidate will have a strong background in statistical analysis, data mining, and project management. They will work closely with Engineering teams to provide strategic insights, build probabilistic models, and collaborate with stakeholders to translate business questions into actionable analyses. The position requires expertise in data extraction, compilation, and quality assurance using tools like SQL, R, and Python. This is an opportunity to contribute to Google's evolving storage solutions and make a significant impact on system efficiency. The role offers competitive compensation and benefits, reflecting Google's commitment to attracting top talent in the field of data science and analytics.
Responsibilities For Data Scientist, Research, Storage Analytics
- Work with Engineering teams and other Data Scientist to provide strategic insights and direction, build probabilistic models of the systems, and compare those models with production to identify opportunities
- 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
- Design and evaluate models to mathematically express and solve defined problems with limited precedent
- Gather information, business goals, priorities, and organizational context, as well as the existing and upcoming data infrastructure
- Own the process of gathering, extracting, and compiling data across sources via tools (e.g., SQL, R, Python), and format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis
Requirements For Data Scientist, Research, Storage Analytics
- Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience
- 5 years of experience with statistical data analysis, data mining, and querying (e.g., SQL)
- 3 years of experience managing analytical projects
Benefits For Data Scientist, Research, Storage Analytics
- bonus
- equity
- benefits
