Apply on Employer Site

Pinterest · 2 days ago

UX Quantitative Research Intern

United States

Internship

Remote

Intern

$11,000/mo - $11,000/mo

Start in 2026 Spring

Pinterest is a platform that inspires creativity and innovation. They are seeking a UX Quantitative Research Intern to influence product decisions by applying statistical analysis to user behavior and trends, while collaborating with cross-functional teams to enhance user experiences.

InternetSocial BookmarkingSocial MediaSocial NetworkSoftware

Comp. & Benefits

No H1B

Responsibilities

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

Qualification

Survey methodologyDescriptive statisticsInferential statisticsMultivariate statisticsPythonRSQLData analysisCommunicationCollaboration

Required

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