Master's Data Science Internship 2027 (USA)

Summary

Pinterest is a platform that helps people discover creative ideas and plan for meaningful experiences. The Data Science Intern will apply quantitative analysis, statistical techniques, modeling, and data mining to understand user behavior, evaluate experiments, identify product opportunities, and influence product roadmaps while collaborating with engineering and product partners.

Responsibilities

• 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

Skills

• 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

Qualifications

Must Haves

• 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

Benefits

• 12 weeks paid internship
• Depending on the team, summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
• Flexibility to do your best work