Master's University Grad Data Scientist (USA)
About this role
Data scientists on this team spend their days analyzing complex user behavior, designing core metrics, and evaluating A/B experiments to shape the platform's product roadmap. Individuals in this role work closely with product managers, engineers, and researchers to uncover actionable insights from vast amounts of data and translate them into personalized experiences for millions of users. Pinterest maintains this data science function to evolve product features, measure value for advertisers, and help internal teams evaluate changes more rapidly.
Candidates who thrive in this environment typically possess a strong foundation in quantitative analysis, statistical modeling, and data manipulation, combined with the ability to connect data findings to real business problems. This opportunity suits recent master's graduates who enjoy collaborating across disciplines and applying rigorous statistical techniques to influence core product initiatives.
What you will do
- Contribute to the product roadmap by performing exploratory data analysis to understand user behavior and identify innovation opportunities.
- Design and implement core metrics to guide team efforts and evaluate A/B experiments.
- Explore alternative experimentation techniques to help internal teams evaluate ideas faster.
- Work cross-functional with product managers, engineers, designers, and researchers to build new platform experiences.
- Apply quantitative analysis, statistical techniques, modeling, and data mining to solve analytical problems.
- Turn insights and analyses into real-world products that influence team roadmaps and key initiatives.
What you need
- Must hold a Master's degree in statistics, mathematics, economics, applied sciences, computer science, or a related field.
- Demonstrate the ability to manipulate large data sets with high dimensionality and complexity.
- Maintain fluency in SQL and a scripting language such as Python or R.
- Bring experience solving analytical problems using quantitative approaches including machine learning, statistical modeling, forecasting, or econometrics.
- Exhibit excellent communication skills to explain findings to both technical and non-technical partners.
- Apply strong critical thinking when working with AI-generated suggestions, including validating correctness, performance, security, and maintainability.
- Possess the ability to connect data analysis to real business problems to impact performance.
Benefits
- Eligible for equity
Skills and tech stack
Questions candidates ask
What is the location policy for this role?
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. We let the type of work you do guide the collaboration style, meaning we are not always working in an office but continue to gather for key moments.
What is the compensation range for this position?
The base salary range for this position is $124,950 to $168,000 USD for US based applicants only. The position is also eligible for equity, with the final salary based on factors including location, travel, relevant prior experience, or particular skills and expertise.
What tools and languages are used in this role?
The role requires fluency in SQL and a scripting language such as Python or R. Professionals will manipulate large data sets with high dimensionality and complexity.
What is the focus of the interview process regarding AI?
To get a complete picture of your experience and abilities, we will explore your foundational skills and how you collaborate with AI. What matters most during the interview process is that you can always explain your approach, showing not just what you know, but how you think.