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Vacantes / Coinbase

Data Science Intern

Coinbase · Hybrid - San Francisco, CAjunior

En corto

  • ▸Internado en ciencia de datos en una empresa de cripto con impacto real.
  • ▸Trabajas en equipo con productos y ingeniería para convertir datos en decisiones concretas.
  • ▸Destaca el acceso directo a modelos y experimentos que afectan a millones de usuarios.

Familiarity with English is required for collaboration with global teams.

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¿Qué piden?

  • ✓Curso o proyecto en modelado estadístico, análisis de datos o campo cuantitativo.
  • ✓Familiaridad con SQL para análisis y Python para programación o modelado.
  • ✓Interés demostrado en pruebas A/B, inferencia causal o machine learning.
  • ✓Estudiante de carrera o posgrado en matemáticas, estadística, física, ciencia de la computación o economía.
  • ✓Uso responsable de IA generativa con supervisión humana.
  • ✓Disponibilidad para un internship de 12 semanas en verano de 2027.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

SQLPythonA/B testingcausal inferencemachine learningdata pipelinesdata modelingdata storytellingexperiment designgenerative AI

¿A quién escribirle en Coinbase?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. As a Data Science Intern on the Strategy, Execution, & Analytics team within the Platform group, you'll partner with product and engineering teams to turn data into decisions that drive real business impact. This team builds analytics models and systems that scale insights across Coinbase and directly into the product. You'll collaborate with senior data scientists and business partners to design experiments, build models, and deliver data-driven recommendations that shape how millions of customers experience crypto. You will gain hands-on experience at a publicly traded crypto-native company, with mentorship from senior data scientists and direct exposure to how data shapes the company. What you'll do: • Collaborate with product teams to create analyses and build models that drive measurable business outcomes. • Support the design and execution of experiments, including A/B tests and causal inference methods. • Build and maintain analytical datasets and pipelines that ensure data integrity and power your analyses and models. • Distill complex analyses into clear, actionable insights through data-driven storytelling for technical and non-technical audiences. • Partner with senior team members on analytical deep dives to diagnose and address complex business problems. Required Skills and Experience: • Coursework or project experience in statistical modeling, data analysis, or a related quantitative field (e.g., mathematics, economics, physics, computer science). • Familiarity with SQL for data analysis and Python for programming or modeling. • Demonstrated interest in experimentation (A/B testing), causal inference, or machine learning through coursework or projects. • Currently pursuing a BA/BS or graduate degree in a quantitative discipline (e.g., Math, Statistics, Physics, Computer Science, Economics) or equivalent experience. • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Req ID: P78149 #LI-Hybrid Pay Transparency Notice: Depending on your work location, the target hourly rate for this position can range as detailed below. <div class="c-message_kit__reaction_bar c-reaction_bar c-reaction_bar--collapsed" data-qa="reacti

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