UX Quantitative Research Intern

Pinterest

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Quick summary

Work type
Remote
Location
Remote
Employment
Intern
Posted
2 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $166k
$102k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $114,400–$217,950.

Based on 240 similar postings.

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About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 48 open roles on FindRole.

Listed pay typically runs $177,185–$339,078 across 42 roles with salary data.

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At a glance

TL;DR · UX Quantitative Research Intern

The UX Quantitative Research Intern joins a collaborative team to bring statistical rigor to product decisions by analyzing user behavior and trends. Working cross-functionally with product managers, engineers, designers, and researchers, the intern will craft surveys, model attitudes alongside usage data, and translate complex findings into compelling narratives to influence the product roadmap. The role focuses on identifying opportunities for innovation by exploring the intersection of user attitudes and behaviors through survey methodologies and log analysis. Candidates must possess expertise in descriptive, inferential, and multivariate statistics, as well as experimental design. Technical requirements include proficiency in Python, R, or SQL. This position specifically targets doctoral students in fields such as statistics, psychology, sociology, applied sciences, or computer science who can connect data analysis to real business problems to improve the experience for Pinners, Merchants, Creators, and Advertisers.

What you'll do

  • Use data and exploratory analysis to identify opportunities for product innovation and influence the roadmap.
  • Design and execute surveys to gather insights on user sentiments and preferences.
  • Apply statistical modeling and multivariate statistics to analyze survey data.
  • Combine survey results with log analysis to explore the intersection of user attitudes and behaviors.
  • Translate complex research findings into compelling narratives for cross-functional teams.
  • Connect data analysis to real business problems to impact overall performance.

What we're looking for

  • Current enrollment in a PhD program in statistics, psychology, sociology, applied sciences, computer science, or a related field.
  • Must obtain a PhD in statistics, psychology, sociology, applied sciences, computer science, or a related field by June 2027.
  • Experience with survey methodology, including developing surveys and analyzing survey data.
  • Demonstrated experience in descriptive, inferential, and multivariate statistics, and experimental design.
  • Proficiency in 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 performance.
  • Must be a US-based applicant.

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