The Research Data Scientist role at Google focuses on supporting the Search Ads and Google Experience organization by developing advanced ad products. This position is part of the Ads Metrics team, which plays a crucial role in driving significant revenue for Google. The role requires a blend of analytical skills and technical expertise to solve complex business problems. Candidates will work with various stakeholders to translate business questions into actionable analyses and models.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
• 5 years of work experience is preferred.

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions.
• Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Gather information, business goals, priorities, and organizational context around the questions to answer.
• Own the process of gathering, extracting, and compiling data across sources using relevant tools.
• Format, re-structure, or validate data to ensure quality and review the dataset for readiness for analysis.

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