Role Description & Responsibilities
Data Science
About Pinterest
Pinterest is a high-growth technology leader building scalable solutions for global users. Millions of companies and teams rely on their infrastructure and services to execute high-value workflows, analyze massive datasets, and scale modern operations.
CadetX Candidate Advantage: As an applicant for this Data Science role, you are evaluated on practical proficiency with real-world query execution, data pipelines, and clear stakeholder communication.
CadetX Role Brief & Company Specifications
Role Mission & Impact
We’re looking for Data Science interns 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.
Key Responsibilities & Day-to-Day Scope
- ✓ May 17, 2027 - August 6, 2027
- ✓ June 14, 2027 - September 3, 2027
- ✓ 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.
- ✓ 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)
Official Qualifications & Technical Requirements
- • 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.
- • We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection
- • This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
Preferred Skills & Technology Stack
- + Familiarity with distributed compute frameworks (Apache Spark, Databricks).
- + Experience with experiment tracking tools (MLflow, Weights & Biases) and containerization (Docker).
- + Personal GitHub repository or competition profile (Kaggle) demonstrating practical data science projects.
Tech Stack & Tools in this role
Expected technical competencies for Day 1 productivity:
★ Life & Culture at Pinterest
Verified EmployerPinterest champions rigorous analytical discipline, continuous learning, and low-ego teamwork. Team members enjoy flexible hybrid allowances, learning stipends, and structured mentorship to fast-track career mobility.