The Senior Product Data Scientist for ML Resource Efficiency at Google will focus on optimizing the deployment of machine learning resources across the company. This role involves collaborating with various teams, including Capital Engineering and Finance, to ensure cost-effective ML compute usage. The successful candidate will leverage technical and analytical skills to improve efficiency through data transparency and service innovations. This position requires strong problem-solving abilities and the capacity to build cross-functional relationships.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.
• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field is preferred.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) is preferred.
• Experience working on Machine Learning Infrastructure is preferred.

• Perform analysis utilizing relevant tools such as SQL, R, and Python.
• Help solve problems by narrowing down multiple options into the best approach.
• Take ownership of open-ended ambiguous business problems to reach optimal solutions.
• Build new processes, procedures, methods, tests, and components to anticipate and address future issues.
• Report on Key Performance Indicators (KPIs) to support business reviews with leadership.
• Translate analysis results into 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.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.