The Staff Data Scientist, Product role at Google focuses on providing quantitative support and strategic insights to various partners within the organization. The position requires deep expertise in analytics to solve product and business problems, utilizing statistical analysis and coding skills. Data Scientists are expected to communicate findings effectively and make critical recommendations to enhance decision-making processes. This role is integral to helping Google serve its vast user base by transforming data into actionable insights.

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

• Perform analysis utilizing relevant tools such as SQL, R, and Python.
• Provide analytical thought leadership through proactive and strategic contributions.
• Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, and presentation to stakeholders.
• Develop solutions and manage ambiguous problems by framing problems and making recommendations.
• Oversee the integration of cross-functional project timelines and develop process improvements.
• Directly or indirectly oversee the contributions of others and develop colleagues' capabilities.

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