Data Science Intern

USD 50 per hour

INTERN

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

A/B Testing @ 3 AI @ 3 Data Analysis @ 3 Data Science @ 3 Experimentation @ 3 GenAI Generative AI @ 3 Machine Learning @ 3 Mathematics @ 3 Python @ 2 SQL @ 2 Statistics @ 3

Details

Coinbase is a remote-first, but not remote-only company. Employees are expected to meet quarterly for in-person working sessions called “surges.” 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 will partner with product and engineering teams to turn data into decisions that drive business impact. The team builds analytics models and systems that scale insights across Coinbase and directly into the product. You will 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. The internship includes mentorship from senior data scientists and direct exposure to how data shapes a publicly traded, crypto-native company.

Responsibilities

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 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.

Requirements

Coursework or project experience in statistical modeling, data analysis, or a related quantitative field such as mathematics, economics, physics, or computer science.
Familiarity with SQL for data analysis and Python for programming or modeling.
Demonstrated interest in experimentation, including A/B testing, causal inference, or machine learning, through coursework or projects.
Currently pursuing a BA/BS or graduate degree in a quantitative discipline such as mathematics, statistics, physics, computer science, or economics, or equivalent experience.
Ability to use generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.