The Senior Research Data Scientist role at Google focuses on advancing advertising measurement methodologies and products. This position is part of the Ads Insight and Measurement team, which combines data at scale with formal science to enhance advertising effectiveness. The role involves collaborating with engineers, analysts, and product managers to develop and improve Google's advertising products. Candidates will leverage their expertise in statistical methods and machine learning to address complex measurement challenges in the advertising ecosystem.

• 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.
• Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
• Experience with causal inference methods such as split-testing, instrumental variables, and regression techniques.
• Applied experience with machine learning on datasets.

• Direct the design and development of innovative measurement methodologies and products.
• Architect and oversee the execution of complex experimental frameworks to establish causal impact at scale.
• Advance quantitative methods by integrating causal inference, statistical modeling, and machine learning techniques.
• Drive the creation of scalable analysis pipelines and mentor other data scientists on best practices.
• Serve as a key technical lead and trusted cross-functional partner.

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