About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
We’re looking for inquisitive, collaborative UX Quantitative Research interns to bring statistical rigor to product decisions. Partnering with mentors across product, design, data, and engineering, you’ll craft surveys, model attitudes alongside usage data, and translate complex findings into compelling narratives for our teams. Expect real projects, supportive teammates, and opportunities to shape Pinterest experiences that are impactful, inclusive, and meaningful for our Pinners.
What you’ll do:
- Influence and evolve our product roadmap to help us fulfill our mission - to bring everyone the inspiration to create a life they love - 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 using survey methodologies and statistical/modeling based approaches.
- Explore the intersection of user attitudes and behaviors by combining surveys and log analysis
- Work cross-functionally to build and communicate key insights.
- Collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.
What we’re looking for:
- This position requires current enrollment in a school or education program in which the individual is working towards a PhD in statistics, psychology, sociology, applied sciences, computer science or related field
- Obtain PhD in statistics, psychology, sociology, applied sciences, computer science or related field by June 2027
- Currently pursuing a PhD in statistics, psychology, sociology, applied sciences, computer science or related field.
- Experience with survey methodology, including experience developing surveys and analyzing survey data
- Demonstrated experience in descriptive, inferential, and 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, in order to impact business performance.
We offer 2 internship start dates:
- May 18, 2026 - August 7, 2026
- June 15, 2026 - September 4, 2026
Relocation Statement:
This position is remote and not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
The minimum and maximum salary for this position is $11,000 monthly.
#LI-REMOTE
#LI-FILS
Our Commitment to Inclusion:
Top Skills
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
