We’re looking for Data Science interns to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You’ll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners. 

The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various DS teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

• May 17, 2027 - August 6, 2027
• June 14, 2027 - September 3, 2027

What you’ll do:

• Contribute to our product roadmap and 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.
• Design and implement core metrics that guide the team efforts and help design and evaluate A/B experiments that drive these metrics.
• Explore alternative experimentation techniques to help internal teams evaluate their ideas faster.
• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.

What we’re looking for:

• Currently pursuing a Master’s degree in statistics, mathematics, economics, applied sciences, computer science or related field.
• Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and a scripting language (Python or R)
• Experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields
• Excellent communication skills and the ability to explain learnings to both technical and non-technical partners
• Ability to connect data analysis to real business problems, in order to impact business performance.
• Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
• Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection
• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

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 salary for this position is $11,000 monthly.

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