Pinterest · Posted 2w ago
Master's Data Science Internship (2027)
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇺🇸 United States
- Contract
- Internship
- Role
- Data science
- Source
- Stapply Data
Stack
- SQL
- Python
- R
The posting
Join Pinterest as a Data Science intern and help shape the future of our product. You will apply quantitative analysis, statistical techniques, modeling, and data mining while working cross-functionally with engineering and product partners. Your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives. This is a 12-week paid internship with fixed start dates in May or June.
- Contribuer à l'évolution et à la définition de la feuille de route du produit en utilisant des analyses de données et des analyses exploratoires pour comprendre le comportement des utilisateurs. - Concevoir et mettre en œuvre des indicateurs clés qui guident les efforts de l'équipe et aident à concevoir et à évaluer des expériences A/B qui influencent ces indicateurs. - Travailler en collaboration avec des équipes interfonctionnelles pour construire et communiquer des informations clés, et collaborer étroitement avec des chefs de produit, des ingénieurs, des designers et des chercheurs.
- 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)