Master's University Grad Data Scientist (USA)

About the Role

We’re looking for a Data Scientist 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.

What You’ll Do

• Contribute to our 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 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, collaborating closely with product managers, engineers, designers, and researchers.

What We’re Looking For

• 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 Machine Learning, Statistical Modeling, Forecasting, Econometrics, or 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 to impact business performance.