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Jobs / Ripple

Senior Data Scientist

Ripple·Londonsenior

In short

  • →Científico de datos sénior que impulsa decisiones con análisis rigurosos en pagos, stablecoins y custodia.
  • →Día a día: construyes marcos científicos, usas IA para acelerar análisis y traduces datos en narrativas para líderes.
  • →Destaca: usas LLMs y flujos agenticos para escalar insights en un entorno de cripto y finanzas institucionales.

Fluent English required for collaboration across global teams.

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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 has usado LLMs para automatizar o escalar un análisis de datos en un proyecto anterior?

2. Describe un marco de medición que diseñaste y que otros equipos adoptaron; ¿qué desafíos enfrentaste?

3. ¿Cómo aplicarías inferencia causal para evaluar el impacto de una nueva función en el uso de stablecoins?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

  • ✓7+ años en ciencia de datos o análisis cuantitativo con impacto demostrable.
  • ✓Experiencia liderando análisis para equipos multifuncionales y moldeando decisiones estratégicas.
  • ✓Habilidad comprobada para construir marcos de medición adoptados por otros equipos.
  • ✓Experiencia práctica aplicando IA (LLMs, workflows agenticos, interfaces por texto) en análisis.
  • ✓Experto en experimentación, inferencia causal, pronósticos y modelado estadístico.
  • ✓Dominio de Python o R, fluidez en SQL y experiencia con herramientas de análisis de datos.

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

PythonRSQLLLMsagentic workflowsnatural-language data interfacexperimentationcausal inferenceforecastingstatistical modeling

Who should you write to at Ripple?

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.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. The work: We're looking for a Senior Data Scientist to drive analytics across Ripple's product and business portfolio. You'll build the scientific frameworks teams use to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of your analysis. In this role, you'll partner with product and business leads to frame the right questions, bring rigor to how they're answered, and make sure decisions rest on a consistent, thorough foundation. You'll take on ambiguous, high-impact problems, build analyses and tooling others can reuse, and raise the analytical bar of the teams you work with. What you’ll do: • Serve as the data science lead for one or more product or business areas — Payments, Stablecoin, or Custody — applying strong methodology and tackling the hardest analytical problems in your domain. • Partner with product and business leads to shape roadmap decisions: which initiatives to prioritize, what success looks like, and how we'll measure it. • Build the scientific frameworks your teams rely on: product and network health metrics, causal inference approaches, and forecasting that holds up across institutional and developer surfaces. • Apply AI to accelerate analytics — using LLMs and agentic workflows to scale insight generation, automate routine analysis, and make data more self-serve for non-DS partners. • Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity, surfacing the causal drivers behind adoption and volume. • Define and communicate the metrics your teams and leadership run on, translating complex results into clear narratives for senior stakeholders. • Raise the bar for the DS function through mentorship and by modeling strong analytical practice for the data scientists around you. What you'll bring: • 7+ years in data science or quantitative analysis, with a track record of measurable impact on product and business decisions. • Experience as the data science partner to cross-functional teams, shaping roadmaps and helping leaders make better-informed calls. • Track record designing analytics and measurement frameworks that other teams adopt and build on. • Hands-on experience applying AI to accelerate analytics workflows — agentic analysis, AI-assisted insight generation, natural-language data interfaces. • Strong expertise in experimentation, causal inference, forecasting, and statistical modeling. • Expertise in Python or R, fluency in SQL, and experience

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