Data Scientist, Economic Insights & Research

Stripe

10h

About The Position

As a Data Scientist on the Economic Insights & Research team, you will conduct original, rigorous economic research using both Stripe's internal datasets and public data sources, producing findings that directly drive major technical and strategic decisions across the company. You'll work like an economist embedded in one of the world's most data-rich companies, bringing academic-grade rigor to real-world questions that matter at scale.

Requirements

• PhD or Master's degree in Economics, or a closely related field (e.g., Applied Economics, Econometrics, Public Policy, or Economic Sociology)
• Strong foundation in econometrics and applied statistics, including comfort with causal inference frameworks (difference-in-differences, instrumental variables, regression discontinuity, etc.)
• Proficiency in Python and SQL for data analysis, modeling, and pipeline development
• Experience conducting independent research using large, messy datasets, from hypothesis generation through to publication-quality findings
• Demonstrated ability to communicate complex economic research clearly and persuasively to both technical and non-technical audiences
• Experience working independently on multiple concurrent research projects with high standards for rigor and reproducibility
• Demonstrated ability to collaborate cross-functionally and translate business questions into well-specified research problems

Nice To Haves

• Experience in an applied research role at an institution known for economic analysis (e.g., Federal Reserve, Amazon, CBO, World Bank, IMF, or a top academic or policy institution)
• Familiarity with macroeconomic indicators, labor market dynamics, price indices, or cross-border trade and commerce
• Experience working with and linking proprietary transaction or administrative data to public data sources
• A track record of publishing or publicly presenting economic research (working papers, policy briefs, media coverage, etc.)
• Experience with time series modeling, index construction, or economic nowcasting methodologies
• Familiarity with distributed data processing frameworks (e.g., Spark, Trino/Presto)

Responsibilities

• Design and execute deep economic research projects using Stripe's internal transaction data alongside public datasets (e.g., BLS, Census Bureau, Federal Reserve, OECD, and academic data sources)
• Apply rigorous econometric and statistical methods, including causal inference, time series analysis, panel data modeling, and quasi-experimental designs, to answer consequential questions about the economy and Stripe's role in it
• Translate economic research findings into clear, actionable insights that influence major product, policy, and business decisions across Stripe
• Build and maintain robust, reproducible data pipelines and analytical frameworks that enable ongoing economic research at scale
• Partner closely with cross-functional teams, including Product, Finance, Policy, and Communications, to identify research questions that advance Stripe's strategic priorities
• Synthesize findings from both internal and external data sources to construct novel economic indicators and track macroeconomic and microeconomic trends relevant to Stripe's business
• Present research findings to senior internal audiences and external stakeholders, including policymakers, academics, and the media
• Contribute to Stripe's external economic research publications, reports, and data products that advance public understanding of the internet economy
• Collaborate with external researchers, academic institutions, and policy organizations to advance the rigor and reach of Stripe's economic research agenda

What This Job Offers

• Job Type: Full-time
• Career Level: Senior