PhD Data Science Internship 2027 (USA)

About the Role

Pinterest is seeking Data Science interns to help shape its product, understand user and advertiser needs, measure advertiser value, and help teams evaluate product changes faster. Interns apply quantitative analysis, statistical techniques, modeling, and data mining while working with engineering and product partners. Their insights influence team roadmaps, product opportunities, experimentation, and key initiatives.

Internship Details

• Paid, 12-week internship for US-based applicants only.
• Start-date options: May 17–August 6, 2027, or June 14–September 3, 2027.
• Depending on the team, internships are remote or hybrid in San Francisco, Palo Alto, New York, or Seattle.
• The role may require living within commuting distance of a Pinterest office for in-person collaboration.
• Stated compensation: $12,100 monthly.

Responsibilities

• Use exploratory analysis to understand user behavior and trends, identify product innovation opportunities, and influence the product roadmap.
• Design and implement core metrics and help design and evaluate A/B experiments.
• Explore alternative experimentation techniques to help teams evaluate ideas faster.
• Gather signals about Pinner, Merchant, Creator, or Advertiser preferences through surveys and statistical or modeling approaches.
• Build and communicate insights while collaborating with product managers, engineers, designers, and researchers.

Qualifications

• Currently pursuing a PhD in statistics, mathematics, economics, applied sciences, computer science, or a related field.
• Ability to manipulate large, high-dimensional, complex datasets; fluency in SQL and a scripting language, Python or R.
• Experience solving analytical problems through quantitative approaches, including machine learning, statistical modeling, forecasting, econometrics, or related fields.
• Excellent communication skills and the ability to explain findings to technical and non-technical partners.
• Strong critical thinking when using AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
• Ability to connect data analysis to business problems and business performance.

Application and Interview Guidelines

• One application provides consideration for multiple Data Science internship roles across teams. Apply only once within the USA or Canada; multiple applications may delay recruitment.
• Interviews explore foundational skills and collaboration with AI. Candidates must be able to explain their approach and reasoning.
• Application and hiring-process information must be true, accurate, and complete. False statements, omissions, or misrepresentations may result in disqualification or termination after hire.
• Medical or religious accommodations during the application process may be requested through the provided support form.