Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the teamThe Economic Insights & Research team sits at the intersection of economic research and Stripe's core business. We use Stripe's unparalleled real-time view of the global economy, spanning millions of businesses, industries, and geographies, to produce original economic research that shapes how Stripe understands the world and how the world understands Stripe. Our work informs major product and business decisions, contributes to public discourse on economic trends, and helps Stripe fulfill its mission of growing the GDP of the internet.
What you’ll doAs 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.
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
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum 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
- 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)
Skills Required
- PhD or Master's degree in Economics or closely related field
- Strong foundation in econometrics and applied statistics, including causal inference methods
- Proficiency in Python for data analysis, modeling, and pipeline development
- Proficiency in SQL for data analysis and pipeline development
- Experience conducting independent research with large, messy datasets from hypothesis to publication-quality findings
- Ability to communicate complex economic research clearly to technical and non-technical audiences
- Experience managing multiple concurrent research projects with rigor and reproducibility
- Ability to collaborate cross-functionally and translate business questions into research problems
- Experience in applied research roles at top economic institutions (e.g., Fed, World Bank, IMF) or similar
- Familiarity with macroeconomic indicators, labor market dynamics, price indices, or cross-border trade
- Experience linking proprietary transaction or administrative data to public data sources
- Track record of publishing or publicly presenting economic research
- Experience with time series modeling, index construction, or nowcasting methodologies
- Familiarity with distributed data processing frameworks (e.g., Spark, Trino/Presto)
Stripe Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stripe and has not been reviewed or approved by Stripe.
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Healthcare Strength — Healthcare is positioned as comprehensive across mental, physical, and medical plans. Mental-health support is repeatedly surfaced as a meaningful part of overall coverage.
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Parental & Family Support — Parental leave and fertility benefits are highlighted as core elements of the package. Leave-related benefits are portrayed as a standout area of support for families.
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Fair & Transparent Compensation — Compensation is framed as a relative strength compared to other parts of the employee experience. Pay is frequently characterized as competitive and, for many roles, perceived as fair in absolute terms.
Stripe Insights
What We Do
Stripe is a technology company that builds economic infrastructure for the internet. Businesses of every size—from new startups to public companies like Salesforce and Facebook—use the company’s software to accept online payments and run technically sophisticated financial operations in more than 100 countries. Stripe helps new companies get started and grow their revenues, and established businesses accelerate into new markets and launch new business models. Over the long term, Stripe aims to increase the GDP of the internet.








