Data Scientist Intern
PayPal
This job at a glance
- Who can apply
- New grads and up to 27 years · Bachelor's degree
- Must know
- Machine learningData structures & algorithmsStakeholder managementSQLTableauLooker
- Nice to have
- Python
- Work
- On-site in San Jose · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning73%SQL73%Stakeholder management52%Data structures & algorithms29%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 5, 2026 · still open
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About the Role
As a Data Science intern, you will have an impact on PayPal’s products all around the world and you will have the opportunity to gain hands-on experience and exposure to the world of data science. This internship is designed to provide a talented and aspiring data scientist with real-world challenges and projects to sharpen their skills while contributing to our data-driven initiatives. Our interns work to better understand our end-users, identify opportunities, and improve our products by creating personal and smart experiences. By making use of PayPal’s endless amount of data, you will leverage your data and machine learning skills for the research and delivery of end-to-end ML solutions. If you are interested to be a Data Scientist/Machine learning and have sharp analytical skills and a passion for deriving new insights, solving unique challenges, leveraging machine learning algorithms, and working in a highly collaborative, values-driven environment.
Key Responsibilities
- Analyze large, complex datasets to identify trends, explain business performance, and develop actionable recommendations.
- Partner with product, engineering, and data teams to define success measures, improve data quality, and support reliable analytics.
- Design and evaluate analyses and experiments to inform product decisions and business priorities.
- Communicate findings clearly to technical and non-technical stakeholders, including senior leaders.
- Manage multiple projects and deliver high-quality work in a fast-paced environment.
Requirements & Tech Stack
- Proficiency in SQL and experience with data visualization tools such as Tableau or Looker.
- Python or R experience is a plus.
- Strong knowledge of statistics, including hypothesis testing and regression.
- Familiarity with experimentation.
Qualifications
- Experience analyzing complex datasets and translating findings into actionable recommendations.
- Strong communication, problem-solving, and organizational skills; able to work through ambiguity and collaborate across teams.
- Currently pursuing a bachelor’s or master’s degree in computer science, software engineering, or a related technical field at an accredited college or university.
- Must be returning to school in Fall 2027.
Internship Program Requirements
- This is a Summer 2027 Internship program.
- Must be legally authorized to work in the U.S. without sponsorship.
- Applications will be accepted through Sunday December 6th, 2026.