Staff Data Scientist, Ads Insights and Measurement

At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets.

• Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products.
• Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions.
• Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
• Build and prototype analysis pipelines iteratively to provide insights at scale.
• Develop knowledge of Google data structures, metrics, advocating for changes where needed for product development.

• Master's degree in Statistics or Economics, a related field, or equivalent practical experience.
• 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.
• Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods.
• Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference.

• Experience translating analysis results into business recommendations
• Experience understanding potential outcomes framework and with causal inference methods
• Experience selecting tools to solve data analysis issues
• Experience articulating business questions and using data to find a solution
• Knowledge of structural econometric methods

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.