The Senior Research Data Scientist for Search Ads at Google will provide critical analysis and data insights to enhance user interfaces and ad formats. This role is part of a team that drives significant business impact, influencing the experience of billions of users worldwide. The position requires a strong background in analytics and coding, with a focus on solving product and business problems. The successful candidate will collaborate with various stakeholders to translate business questions into actionable analyses.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 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 3 years of work experience with a PhD degree.
• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

• 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, and validate data to ensure quality and readiness for analysis.

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