Quick summary
- Work type
- Hybrid
- Location
- San Francisco, CAPalo Alto, CASeattle, WANew York, NY
- Employment
- Intern
- Posted
- 2 days ago
- Freshness
- Confirmed live yesterday
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $105,405–$209,586.
Based on 240 similar postings.
Employer
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 · PhD Data Science Intern
PhD Data Science Internship 2027 (USA) involves joining a data science team to shape product features and improve user engagement. You will perform exploratory analysis to understand user behavior, design core metrics for team goals, and develop A/B experiments to evaluate product changes. The role requires gathering signals regarding user preferences through survey methodologies and statistical modeling while collaborating cross-functionally with engineers and product managers. To succeed, you must be able to manipulate large, high-dimensional datasets using SQL and a scripting language like Python or R. You will apply quantitative techniques in machine learning, forecasting, econometrics, and statistical modeling to solve complex business problems. The work focuses on identifying actionable product opportunities, refining experimentation platforms, and translating data insights into real-world features that connect users with content while measuring value for advertisers and creators.
Skills
What you'll do
- Perform exploratory analysis on user behavior and trends to identify opportunities for product innovation.
- Design and implement core metrics to serve as north stars for team efforts.
- Design and evaluate A/B experiments to drive key performance metrics.
- Explore alternative experimentation techniques to help internal teams evaluate ideas faster.
- Gather explicit signals regarding user preferences using survey methodologies and statistical modeling.
- Manipulate large, complex datasets using SQL and Python or R.
- Translate data analysis into actionable insights to solve real business problems.
- Communicate technical findings and key insights to both technical and non-technical partners.
What we're looking for
- Must be currently pursuing a PhD degree in statistics, mathematics, economics, applied sciences, computer science, or a related field.
- Ability to manipulate large data sets with high dimensionality and complexity.
- Fluency in SQL and a scripting language such as Python or R.
- Experience solving analytical problems using quantitative approaches including Machine Learning, Statistical Modeling, Forecasting, or Econometrics.
- Excellent communication skills to explain findings to both technical and non-technical partners.
- Strong critical thinking when working with AI-generated suggestions regarding correctness, performance, security, and maintainability.
- Ability to connect data analysis to real business problems to impact performance.
- Must be a US-based applicant.
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