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 $114,400–$214,000.
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.
Most-posted roles
- Machine Learning Engineer 7
- Software Engineer 7
- Technical Program Manager 7
- Data Scientist 5
- Product Manager 3
At a glance
TL;DR · Data Science Intern
Master's Data Science Internship 2027 (USA) is a role where you will join the data science team to shape product features and improve user engagement. You will perform exploratory analysis to understand user behavior, design core metrics for A/B experiments, and identify opportunities for innovation. Your daily work involves collaborating cross-functionally with engineers and product managers to translate complex data into actionable insights that influence the product roadmap. To succeed, you must be proficient in SQL and a scripting language like Python or R while applying quantitative techniques such as machine learning, statistical modeling, forecasting, and econometrics. You will also manage high-dimensional datasets and utilize AI-assisted workflows to solve business problems. The role focuses on enhancing user experience, measuring advertiser value, and refining the internal experimentation platform through rigorous data mining and analysis.
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 guide team efforts and evaluate A/B experiments.
- Develop alternative experimentation techniques to help internal teams evaluate ideas more quickly.
- Manipulate large, complex datasets using SQL and scripting languages like Python or R.
- Solve analytical problems using machine learning, statistical modeling, forecasting, and econometrics.
- Translate data analysis into actionable insights to solve real business problems and improve performance.
- Validate the correctness, performance, and security of AI-generated suggestions and workflows.
- Communicate technical findings and key insights to both technical and non-technical partners.
What we're looking for
- Currently pursuing a Master's 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.
- Ability to connect data analysis to real business problems to impact performance.
- Strong critical thinking when working with AI-generated suggestions regarding correctness, performance, security, and maintainability.
- Comfort iterating on prompts and refining workflows using AI-assisted approaches.
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