Google Cloud accelerates every organization’s ability to digitally transform its business and industry. The Cloud Data Science team is a central intelligence team in Google Cloud Business Platform. Our mission is to empower GCBP with data-driven insights that drive scale and efficiency for the business, and experiences for customers. We partner with various stakeholders across Cloud to deliver fast, iterative insights to optimize the customer journey and end-to-end business operation. We partner with engineers in Data Platform and Infrastructure to scale and operationalize our insights.
Requirements
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree).
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python).
- Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.
- Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
- Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team.
- Translate analysis results to business insights or product improvement opportunities.
- Build and prototype analysis and business cases iteratively to provide insights at scale.
- Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.
Other
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Influence across teams to align resources and direction.
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits.
- Sunnyvale, CA, USA; Seattle, WA, USA
