Data Scientist Intern - Summer 2027
About The Position
As a Data Scientist Intern at PayPal, you will gain hands-on experience working on real-world data science challenges and contribute to data-driven initiatives. You will use data and machine learning skills to research and deliver end-to-end machine learning solutions that help improve PayPal products and create personalized, intelligent experiences for users. You will work alongside experienced data scientists, engineers, and product teams to analyze data and uncover insights that support business and customer decisions. With guidance from your team, you will help define metrics, conduct analyses and experiments, and communicate findings and recommendations. The internship is part of PayPal’s Summer 2027 program. Interns must be legally authorized to work in the United States without sponsorship, 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, and returning to school in Fall 2027.
Requirements
- Experience analyzing complex datasets and translating findings into actionable recommendations.
- Proficiency in SQL.
- Strong knowledge of statistics, including hypothesis testing and regression, and familiarity with experimentation.
- Strong communication, problem-solving, and organizational skills.
- Ability to work through ambiguity and collaborate across teams.
- Must be legally authorized to work in the U.S. without sponsorship.
- 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.
Nice To Haves
- Experience with data visualization tools such as Tableau or Looker.
- Python or R experience.
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.
Benefits
- Generous paid time off.
- Healthcare coverage for employees and their families.
- Resources to support financial security and mental health.
- Comprehensive, choice-based programs supporting physical, emotional, and financial wellbeing.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
