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.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
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 17, 2027 - August 6, 2027
- June 14, 2027 - September 3, 2027
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.
For this role, applicants must be currently legally authorized to work in the United States on a full-time basis. The Company complies with all applicable federal, state, and/or local equal employment opportunity and/or anti-discrimination laws.
This position is not eligible for immigration sponsorship.
#LI-FILS
Our Commitment to Inclusion:
Similar Jobs
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
