Data Science Intern

Coinbase

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Employment
Intern
Posted
13 days ago
Freshness
Confirmed live today

Market check

Salary context

How this pay compares to similar roles

Similar $168k
$98k $221k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$208,862.

Based on 240 similar postings.

Employer

About Coinbase

Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology

Coinbase currently has 94 open roles on FindRole.

Listed pay typically runs $191,250–$218,900 across 85 roles with salary data.

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At a glance

TL;DR · Data Science Intern

JOB TITLE: Data Science Intern As a Data Science Intern on the Strategy, Execution, & Analytics team within the Platform group, you will partner with product and engineering teams to transform data into actionable business decisions. You will collaborate with senior data scientists to design experiments, build models, and deliver data-driven recommendations that shape the customer experience within the crypto space. Your daily responsibilities include building and maintaining analytical datasets and pipelines, performing A/B tests, and utilizing causal inference methods to diagnose complex business problems. You must demonstrate proficiency in SQL for data analysis and Python for programming or modeling. The role requires a quantitative background in fields like mathematics, statistics, or computer science, along with the ability to use generative AI responsibly to improve workflow efficiency and data integrity.

What you'll do

  • Create analyses and build models with product teams to 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 to ensure data integrity.
  • Distill complex analyses into clear, actionable insights for technical and non-technical audiences.
  • Perform analytical deep dives to diagnose and address complex business problems.
  • Utilize generative AI responsibly to improve workflow efficiency, cost, and output quality.

What we're looking for

  • Currently pursuing a BA/BS or graduate degree in a quantitative discipline or equivalent experience.
  • Coursework or project experience in statistical modeling, data analysis, or a related quantitative field.
  • Familiarity with SQL for data analysis.
  • Familiarity with Python for programming or modeling.
  • Demonstrated interest in experimentation, causal inference, or machine learning through coursework or projects.
  • Ability to utilize generative AI responsibly to deliver business-ready outputs and improve workflow efficiency.

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