The Staff Data Scientist, Product role at Google focuses on providing quantitative support and market understanding to partners across the organization. This position requires deep expertise in analytics to solve product and business problems, influencing stakeholders with data-driven insights. The successful candidate will work closely with Engineering and Product Management teams, making critical recommendations based on statistical analysis. This role is essential for helping Google serve its vast user base effectively.

• 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 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, generating hypotheses, 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 in the area of specialization.

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