Senior Data Scientist/Research Economist

Requirements:

• 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.

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 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.

What You'll Be Doing:

• Design and conduct research on the economic impacts of AI technologies.
• Develop new conceptual frameworks and taxonomies to systematize engagement with AI products.
• Communicate research findings externally through high-impact publications and presentations.
• Build strategic partnerships with external academic partners and global policy bodies.
• Maintain effective working relationships with partners across Google.

Perks and Benefits:

• Work on a high-priority initiative focused on AI and economy.
• Engage with top academics and policymakers.
• Build new data products to understand AI's economic impact.
• Opportunity to communicate impactful research to the world.
• Support research efforts and collaborate with various teams at Google.