Master's Data Science Internship (2027)

Pinterest; New York (NY); On-site; USD 12,000 - 16,000; Full time

Job summary

Pinterest is seeking Data Science interns to help evolve our product by turning data into actionable insights and measuring value for advertisers and users. You will analyze user behavior, identify opportunities, and contribute to our experimentation platform.

Internships are 12 weeks paid with fixed start dates in May or June, and you will work cross-functionally with PMs, engineers, designers, and researchers to shape the next Pinterest experiences.

Qualifications

• Pursuing a Master’s degree in statistics, mathematics, economics, applied sciences, computer science or related field.
• Experience solving analytical problems with quantitative methods (ML, forecasting, econometrics, etc.).
• Excellent communication and ability to explain learnings to technical and non-technical partners.

Responsibilities

• Apply quantitative analysis, modeling, and data mining with cross-functional partners.
• Influence product roadmap and identify actionable opportunities from data.
• Design and evaluate A/B experiments and core metrics.
• Collaborate with product managers, engineers, designers, and researchers to build new experiences.

Skills

SQL

Python or R

Machine Learning

Statistical Modeling

Communication

Education

Master’s degree in statistics, mathematics, economics, applied sciences, computer science or related field

Job description

• 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
• By applying to this role, you will be considered for multiple intern roles open across our various DS teams
• Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars
• We offer 2 internship start dates:
• May 17, 2027 - August 6, 2027
• June 14, 2027 - September 3, 2027
• 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

• Ability to connect data analysis to real business problems, in order to impact business performance
• Currently pursuing a Master’s degree in statistics, mathematics, economics, applied sciences, computer science or related field
• 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
• 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
• Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and a scripting language (Python or R)