Minimum qualifications: Master's degree in Economics, Statistics, Data Science, Public Policy, Business, Finance, a related field, or equivalent practical experience. 4 years of experience using analytics to solve product or business problems, economic research, coding (e.g., Python, R, SQL), querying databases, or statistical analysis. Preferred qualifications: PhD in Economics or a related field with a focus on labor economics, policy evaluation, industrial organization, or applied econometrics. 6 years of experience using analytics to solve product or business problems, economic research, coding (e.g., Python, R, SQL), querying databases, or statistical analysis. Experience conducting research or other innovative analyses, involving methodologies or data sources and working with text data or datasets. Experience with AI tools and technologies, with a passion for understanding their wider economic impact. Ability to communicate technical analyses to non-technical stakeholders and senior management. About the job Google's AI and Economy program is a high-priority, cross-functional initiative focused on producing research, engaging top academics and policymakers, and building new data products to understand AI's economic impact. You will help design and deliver projects, measuring and communicating to the world about the economically meaningful AI usage in Google products and its implications for the wider economy. You will also widely support research efforts. Responsibilities Design and conduct research on the economic impacts of AI technologies by pioneering novel data sets and empirical methodologies. Develop new conceptual frameworks and taxonomies to systematize ways in which users and businesses engage with AI products, drawing as needed on existing economic research and input from academic advisors. Communicate the research findings externally through high-impact research publications, media articles, and stakeholder presentations. Position Google at the forefront of economic AI research by building strategic partnerships with external academic partners, global policy bodies, and think tanks, and leverage these partnerships to improve our research and amplify its impact on evidence-based policymaking. Maintain effective working relationships with partners across Google, including GDM, Research, Public Policy, Search, Google Trends, Behavioral Economics, to leverage inputs from other teams and communicate research findings to support product strategy decisions.