Master's University Grad Data Scientist (USA)
San Francisco, CA · Palo Alto, CA · Seattle, WA · New York, NY · San Francisco · USD 124,950-168,000 · Hybrid · Posted Oct 1, 2026
At a glance
- Workplace
- Hybrid
- Location
- San Francisco, CA · Palo Alto, CA · Seattle, WA · New York, NY · San Francisco
- Salary
- USD 124,950-168,000 · Base salary
About Pinterest
- Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
- Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
- At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
- Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
- With more than 640 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers help build personalized experiences to help Pinners create a life they love. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.
- By applying to this role, you will be considered for multiple roles open across our various data science teams.
About the role
- By applying to this role, you will be considered for multiple roles open across our various data science teams.
- Help evolve and shape the future of our product by inspiring Pinners, connecting them with actionable content, understanding advertisers, and enabling employees to evaluate potential product changes faster.
- Apply quantitative analysis, statistical techniques, modeling, and data mining while working cross-functionally with engineering and product partners.
Responsibilities
- 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 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.
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 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.
- 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.
Benefits
- Equity
Workplace
- 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.
Skills
- SQL
- Python
- R
- Machine Learning
- Statistical Modeling
- Forecasting
- Econometrics
