The Senior Staff Data Scientist, Product role at Google focuses on providing quantitative support and strategic insights to various partners within the organization. This position requires deep expertise in analytics and problem-solving, enabling the candidate to influence stakeholders and drive decision-making. The role involves working with data to help improve product outcomes and business strategies. Successful candidates will be adept at communicating complex data findings to non-technical team members.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding in languages such as Python, R, or SQL.
• Alternatively, 10 years of work experience plus a Master's degree in a related field.

• Perform analysis utilizing relevant tools such as SQL, R, and Python.
• Direct projects that combine analytical and organizational complexity towards actionable decisions.
• Own projects end-to-end, covering problem definition, metrics development, data extraction, and visualization.
• Address ambiguous problems by leveraging existing systems and collaborating with teams.
• Oversee the integration of cross-functional project timelines and drive improvements.

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