UX Quantitative Research Intern (USA)
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- StatisticsProduct managementSurveyingPythonRSQL
- Work
- On-site in New York · internship
- Pay
- Not stated by the employer.
- Skill demand
- Statistics41%Python28%Product management24%Surveying16%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 6, 2026 · still open
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About the Role
UX Quantitative Research Interns at Pinterest are responsible for bringing statistical rigor to product decisions. This role involves partnering with mentors across product, design, data, and engineering to craft surveys, model attitudes alongside usage data, and translate complex findings into compelling narratives for internal teams. Interns will work on real projects, receive support from teammates, and have opportunities to shape impactful, inclusive, and meaningful experiences for Pinners.
Key Responsibilities
- Influence and evolve the product roadmap by using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation.
- Use surveys to gather insights about Pinner, Merchant, Creator, or Advertiser sentiments and preferences, employing survey methodologies and statistical/modeling-based approaches.
- Explore the intersection of user attitudes and behaviors by combining survey data and log analysis.
- Build and communicate key insights through cross-functional collaboration.
- Collaborate closely with product managers, engineers, designers, and researchers to build future experiences on Pinterest.
Requirements & Tech Stack
- Currently enrolled in a school or education program working towards a PhD in statistics, psychology, sociology, applied sciences, computer science, or a related field.
- Expected to obtain PhD by June 2028.
- Experience with survey methodology, including developing surveys and analyzing survey data.
- Demonstrated experience in descriptive statistics, inferential statistics, multivariate statistics, and experimental design.
- Experience using Python, R, or SQL.
- Excellent communication skills and the ability to tell a complete narrative using data.
- Ability to connect data analysis to real business problems to impact business performance.
Internship Start Dates
- May 17, 2027 - August 6, 2027
- June 14, 2027 - September 3, 2027