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Jobs / Stripe

PhD Data Scientist, Intern

Stripe·New York, Seattle, South San Francisco HQjunior

In short

  • →Científico de datos de PhD en stage en Stripe, enfocado en fraudes y riesgos financieros.
  • →Trabajas en modelos ML para detectar fraudes, robo de cuentas y pérdida financiera, con impacto real en millones de usuarios.
  • →Destaca que es un puesto de alto impacto técnico, con acceso a datos masivos y sistemas críticos.

Se requiere nivel de inglés avanzado para trabajar con equipos internacionales.

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In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

The questions they'll ask you

1. ¿Cómo diseñarías un modelo para detectar intentos de robo de cuentas en tiempo real con datos de comportamiento?

2. Describe un caso donde usaste ML para resolver un problema de riesgo financiero real.

3. ¿Cómo validas la robustez de un modelo de detección de fraudes en un entorno cambiante?

🔒 +7 more questions

No card. Upload your resume and the full dossier is ready in ~1 minute.

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💵 USD · Remote · No visa

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What they ask for

  • ✓Doctorado en ciencia de datos, estadística, matemáticas, ingeniería o campo relacionado
  • ✓Experiencia sólida en modelado estadístico y machine learning
  • ✓Habilidades sólidas en Python y SQL
  • ✓Conocimiento en análisis de series de tiempo y detección de anomalías
  • ✓Capacidad para trabajar con grandes volúmenes de datos
  • ✓Comunicación efectiva de resultados técnicos a equipos no técnicos

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonSQLGitDockerAirflowAWSBigQueryTensorFlowPyTorchSnowflake

Who should you write to at Stripe?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Who we are About Stripe Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start and scale. More than 10 million businesses build on Stripe, spanning the economic frontier—from solo founders to established enterprises—united by a practical focus on growth. The most ambitious companies in the world use Stripe as core infrastructure to grow faster. They process trillions of dollars a year on Stripe, equivalent to around 1.6% of global GDP. While economic growth makes everyone better off, open markets also enable greater variety. When any business can easily serve a global customer base, the quality and diversity of products in the world increase, and craft and creativity are unleashed into the smallest niches. Our own growth is wholly contingent on the success of the businesses building on Stripe. We therefore invest back into our technology at an unusual rate. We make upgrades to our products every single day to deliver compounding gains to our customers. We maintain some of the most reliable APIs on the internet. We build entirely new pieces of financial infrastructure to enable new ideas. And our significant advances in risk and fraud infrastructure over many years are making the internet economy safer and more accessible. Though people at Stripe don’t tend to take themselves seriously, Stripe is a fairly serious place: our customers are depending on us for their livelihoods. We admire ambition, intensity, curiosity, humility, and rigor. The most effective people become knowledgeable about many domains besides their own. Any company is an applied exercise in understanding some aspect of society or the market. In working with so many (especially the new and innovative ones), we think that Stripe is one of the very best places to learn about how the world works. About the team Our 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 Fraud, Losses, and Financial Crime Data Science team builds the models and data products that protect Stripe and its users from fraud, account takeover, and financial crime. We own the full fraud and loss modeling stack - from account takeover detection and card fraud classification to merchant-level loss estimation, unsupervised anomaly detection, and financial crime risk modeling. We partner with Fraud Engineering, Financial Crimes Engineering, and Risk Operations to bring these systems into production and ensure they have measurable impact on Stripe's financial integrity and user trust. What you’ll do As an intern at Stripe you’ll work on projects across our stack that directly impact the way millions of businesses operate. You’ll own problems end to end with the support of your manager and teammates. It’s an opportunity to work alongside some of the most creative and technically rigorous data analysts and scientists in the industry. You'll partner 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. You'll work closely with partners to extract insights from the rich and complex data at

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