The Senior Research Data Scientist role at Google focuses on Ads Insights and Measurement, where the candidate will leverage scientific and statistical methods to enhance advertising products. The position involves collaborating with engineers, analysts, and product managers to develop and implement quantitative methods that address advertising effectiveness and user behavior. The role is critical for ensuring successful ad campaigns and optimizing resource allocation. The ideal candidate will have a strong background in analytics and machine learning applied to large datasets.

• 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.
• Applied experience with machine learning on large datasets.

• Collaborate with teams to define relevant questions about advertising effectiveness and develop quantitative methods to answer those questions.
• Combine experimentation, statistical-econometric, machine learning, and social-science methods to answer business questions at scale.
• Use causal inference methods to design experiments and assess attribution using data.
• Work with large, complex data sets and solve difficult, non-routine analysis problems.
• Conduct end-to-end analyses including data gathering, exploratory data analysis, model development, and delivery of results.

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