The Research Data Scientist role at Google focuses on supporting the Search Ads and Google Experience organization by developing key ad products. The team, Ads Metrics, is responsible for utilizing advanced analytics and machine learning to enhance ad quality and optimize campaigns. This position involves collaborating with various stakeholders to address complex business questions and improve advertising technology. The role requires a strong foundation in data science and analytics to drive impactful results for a multi-billion dollar global business.

• 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 using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree 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.
• Use custom data infrastructure or existing data models to design and evaluate models that mathematically express and solve defined problems.
• 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.

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