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 teamOur Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
What you’ll doWe’re looking for a Data Analyst to partner with our Global organization to drive international expansion and growth. You’ll play a key role in designing and shipping experiments, owning data pipelines, and collaborating with product and engineering teams to establish the right success metrics. You will help track our progress in helping new users to go live on Stripe and empowering existing users to sell globally. Working closely with cross-functional partners, you'll extract actionable insights from Stripe's rich, complex datasets. You will also translate complex business goals into clear analytical frameworks. From building scalable dashboards to crafting compelling data narratives, your insights will directly shape how we run and grow the business.
Who you areWe’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- Bachelors + 8 years or Masters + 6 years or Phd + 3 years
- Proficiency in Scala or Python for data pipeline development, not just scripting and SQL
- Proven ability to manage and deliver on multiple projects with great attention to detail
- Ability to clearly communicate results and drive impact
- Experience with workflow orchestration tools (e.g. Airflow, Flyte, or equivalent)
- Experience with distributed data frameworks such as Spark to write and debug data pipelines
- Proficiency with AI tools to accelerate model development, analysis, and coding
- Ability to design, implement, and maintain data pipelines and dashboards to generate actionable insights based on stakeholder requirements
- Experience collaborating with cross-functional teams to deliver strategic insights, benchmarks, and analyses that provide recommendations
- Ability to enable stakeholders and partners by building self-service tooling and providing training to empower stakeholder teams to be data literate and self-sufficient in autonomous reporting capabilities
- Prior experience at a growth-stage internet or software company
- Good understanding of development processes and best practices like engineering standards, code reviews, and testing
- Strong statistical knowledge
- Working knowledge of Python
- Experience creating leadership-level reporting, such as QBRs, MBRs
Skills Required
- Bachelor's degree plus 8 years, Master's degree plus 6 years, or PhD plus 3 years of experience
- Proficiency in Scala or Python for data pipeline development, beyond scripting and SQL
- Ability to manage and deliver multiple projects with strong attention to detail
- Ability to clearly communicate results and drive impact
- Experience with workflow orchestration tools such as Airflow or Flyte
- Experience with distributed data frameworks such as Spark for writing and debugging data pipelines
- Proficiency with AI tools for model development, analysis, and coding
- Ability to design, implement, and maintain data pipelines and dashboards based on stakeholder requirements
- Experience collaborating cross-functionally to deliver strategic insights, benchmarks, analyses, and recommendations
- Ability to build self-service tooling and train stakeholders to become data literate and self-sufficient in reporting
- Experience at a growth-stage internet or software company
- Understanding of development processes and practices including engineering standards, code reviews, and testing
- Strong statistical knowledge
- Working knowledge of Python
- Experience creating leadership-level reporting such as QBRs and MBRs
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 described as comprehensive, including medical, dental, vision, EAP, and mental‑health support such as therapy sessions; wellness resources are consistently highlighted across materials. Coverage breadth and depth are repeatedly positioned as a core strength.
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Parental & Family Support — Paid parental leave for birthing and non‑birthing parents, fertility benefits, and adoption assistance are emphasized, making family support a standout element. Feedback suggests these programs compare favorably to common tech benchmarks.
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Wellbeing & Lifestyle Benefits — Wellness stipends, gym reimbursement, and onsite meals/snacks (where available) are commonly offered, with flexible lifestyle funds supporting varied needs globally. Education stipends and similar perks further bolster day‑to‑day wellbeing.
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.
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