Senior Economist, Economic Impact Estimation

The Google Economics Team provides economic insights and tools to inform strategy and decision-making across Alphabet, and it engages externally on some policy questions of the moment. The team's Macroeconomics and Economic Impact Reporting area decodes the macroeconomic environment in which Google operates and evaluates the economic and societal impacts of the businesses and investments globally.

In this role, you will be dedicated to designing and executing economic impact studies that leverage big data to quantify and communicate Google’s contributions to the economy and society. You will be instrumental in combining advanced econometrics and statistical modeling with datasets to produce insights. You will also have the opportunity to support the team’s investigative work, including on macroeconomic monitoring and topical issues.

Responsibilities

• Design and implement economic impact studies, employing economic methodologies to measure Google’s economic impact across regional and global economies.
• Apply proficiency in data manipulation, cleaning, and transformation of unstructured datasets. Ensure data quality and integrity throughout the modeling process.
• Contribute to the monitoring of the macroeconomic environment and deliver analysis on key topics, such as energy-related issues.
• Translate technical findings into compelling reports, publications and presentations for audiences, including executives, policymakers, external economists and the general public.
• Conduct advanced quantitative analysis using advanced econometrics techniques and statistical models. Use investigative tools and platforms to process, model and measure the economic impact of Google’s activities, programs and products across various sectors.

Minimum qualifications:

• Master's degree in Economics, Statistics, Data Science, Public Policy, Business, Finance or a related field, or equivalent practical experience.
• 4 years of experience with empirical analysis to solve product, business, or policy problems, with econometric or advanced statistical modeling.
• Experience in big data analysis including statistical or econometric software (e.g., R, Python, Stata) and data query language (e.g., SQL) to manage datasets.
• Experience in macroeconomics and macroeconomic modeling.

Preferred qualifications:

• PhD in Economics, Statistics, Data Science, Public Policy, Business Finance or a related field, or equivalent practical experience.
• 6 years of experience with empirical analysis including investigating questions of economic impact measurement within the context of technology companies or digital platforms.
• Experience with energy-related topics.
• Experience in causal inference methodologies and quasi-experimental designs.