The Senior Research Data Scientist role at Google Display Ads focuses on optimizing advertising strategies through data analysis and modeling. The team is responsible for backend systems that enhance ad retrieval and bidding processes, aiming to maximize advertiser value while managing resource constraints. This position requires collaboration with various stakeholders to translate business questions into actionable analyses. The role directly impacts the efficiency and profitability of a large-scale advertising platform.

• 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 to answer.
• Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Gather information, business goals, priorities, and organizational context around the questions to answer.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
• Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

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