Senior Data Scientist/Research Economist

Google•New York, NY

12d•$166,000 - $244,000

About The Position

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. We are expanding our ambition to establish Google as a leading voice in the public AI and Economy conversation. In this role, you will be joining the Economics team to design and deliver marquee project on measuring and communicating to the economically meaningful AI usage in Google products, and its implications for the economy and support our research efforts. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Requirements

Master's degree in Economics, a related field (e.g., Statistics, Data Science, Public Policy, Business, Finance), 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.

Nice To Haves

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 novel methodologies or data sources, working with text data or datasets.
Familiarity with AI tools and technologies, with an understanding of their broader economic impact.
Ability to communicate complex technical analyses to non-technical stakeholders and executive management.

Responsibilities

Design and conduct research on the economic impacts of AI technologies by pioneering novel datasets 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 institutions 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.