Data Scientist (Master's University Grad)

Pinterest

New York, United States Posted October 18, 2026

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On-site Full-time Mid level
Salary Range

$124,950 - $168,000

Job Description

Join Pinterest as a Data Scientist 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. You will also contribute to our product roadmap and mission, design and implement core metrics, explore alternative experimentation techniques, and collaborate closely with product managers, engineers, designers, and researchers.

  • Contribuer à l'évolution et à la définition de l'avenir du produit en appliquant des analyses quantitatives, des techniques statistiques, de la modélisation et de l'exploration de données.
  • Influencer la feuille de route de l'équipe, identifier des opportunités de produit exploitables, affiner notre plateforme d'expérimentation et conduire des initiatives clés.
  • Collaborer de manière transversale avec les partenaires d'ingénierie et de produit pour construire et communiquer des informations clés.
  • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability
  • 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
  • Ability to connect data analysis to real business problems, in order to impact business performance
  • Master’s degree in statistics, mathematics, economics, applied sciences, computer science or related field
  • Excellent communication skills and the ability to explain learnings to both technical and non-technical partners
Required Skills
data science roadmapping A/B testing collaboration statistics critical thinking SQL Python machine learning forecasting data analysis communication
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