Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you’re brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you’re excited to shape the future of design and collaboration, join us!

We’re looking for Data Science Interns who are excited to use data to answer big questions and guide decisions across Figma. At Figma, interns are embedded into small, collaborative teams where they’ll partner closely with engineers, PMs, and designers to make sense of data, build models, and surface insights that shape our product and business.

This internship will be based out of our San Francisco or New York hub.

Responsibilities:

• Collaborate across teams to turn business questions into data problems
• Design experiments and evaluate metrics to guide product decisions
• Build models or conduct analyzes that help us understand behavior and growth
• Develop tools, datasets, or dashboards that make data more accessible to others
• Share insights with both technical and non-technical teammates

Some projects you could work on:

• Investigate user behavior and recommend product improvements
• Improve experimentation accuracy and velocity through new testing methodologies
• Build internal datasets and models to support product, marketing, or business teams
• Explore growth opportunities through critical metric analysis and funnel research

We’d love to hear from you if you have:

• Investigate user behavior and recommend product improvements
• Improve experimentation accuracy and velocity through new testing methodologies
• Build internal datasets and models to support product, marketing, or business teams
• Explore growth opportunities through critical metric analysis and funnel research

How to Apply:

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Interested applicants can learn more information and apply online here.