Master's University Grad Data Scientist (USA)

Pinterest•San Francisco, NY
•Hybrid

About The Position

Pinterest is looking for a Data Scientist to help evolve and shape the future of its product. This role involves inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling employees to evaluate potential product changes faster. The Data Scientist will apply quantitative analysis, statistical techniques, modeling, and data mining while working cross-functionally with engineering and product partners. The results of their work will influence the team roadmap, identify actionable product opportunities, refine the experimentation platform, and drive key initiatives, turning insights and analyses into real-world products. Pinterest is emphasizing its use of AI as a partner in creativity and impact, and candidates will be assessed on their foundational skills and collaboration with AI, with a focus on explaining their approach and thought process.

Requirements

  • 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 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.
  • Ability to connect data analysis to real business problems, in order to impact business performance.

Responsibilities

  • Contribute to the product roadmap and mission using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation.
  • Design and implement core metrics that guide team efforts.
  • Design and evaluate A/B experiments that drive key metrics.
  • Explore alternative experimentation techniques to help internal teams evaluate their ideas faster.
  • Work cross-functionally to build and communicate key insights.
  • Collaborate closely with product managers, engineers, designers, and researchers to build the next experiences on Pinterest.
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