Data Scientist Intern

PayPal

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Hybrid

Quick summary

Work type: Hybrid
Location: San Jose, CA
Employment: Intern
Posted: 1 day ago
Freshness: Confirmed live today
Closes: May 4, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $147k

$90k $185k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $117,973–$175,500.

Based on 240 similar postings.

Employer

About PayPal

PayPal is a leading global digital wallet and online payment system, founded in 1998, that allows individuals and businesses to send, receive, and manage funds securely in over 200 markets.

PayPal currently has 96 open roles on FindRole.

Listed pay typically runs $176,500–$260,754 across 80 roles with salary data.

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At a glance

TL;DR · Data Scientist Intern

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The Data Scientist Intern - Summer 2027 will join a collaborative team to support data-driven initiatives and improve global products. In this role, you will analyze large, complex datasets to identify trends, explain business performance, and develop actionable recommendations. You will partner with product, engineering, and data teams to define success measures, conduct experiments, and communicate findings to technical and non-technical stakeholders. The position requires proficiency in SQL and data visualization tools like Tableau or Looker, with Python or R experience as a plus. You must possess strong knowledge of statistics, including hypothesis testing and regression. This role focuses on leveraging machine learning algorithms to solve unique challenges, improve data quality, and create personal, smart experiences for end-users within a global commerce and payments environment.

What does a Data Scientist earn in California?

Median $214500 from 103 postings across 27 companies.

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Skills

SQL Python R Tableau Looker Machine Learning Statistics Regression Hypothesis Testing Data Visualization dataanalytics Experimentation ML Solutions

What you'll do

Analyze large, complex datasets to identify trends and explain business performance.
Develop actionable recommendations based on data-driven insights.
Partner with product and engineering teams to define success measures and improve data quality.
Design and evaluate analyses and experiments to inform product decisions.
Communicate findings and recommendations clearly to technical and non-technical stakeholders.
Manage multiple projects and deliver high-quality work in a fast-paced environment.

What we're looking for

Currently pursuing a bachelor’s or master’s degree in computer science, software engineering, or a related technical field.
Must be returning to school in Fall 2027.
Experience analyzing complex datasets and translating findings into actionable recommendations.
Proficiency in SQL and experience with data visualization tools such as Tableau or Looker.
Python or R experience is a plus (preferred).
Strong knowledge of statistics, including hypothesis testing and regression, and familiarity with experimentation.
Strong communication, problem-solving, and organizational skills with the ability to work through ambiguity.