Data Science Intern

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! The Data team at Figma partners directly with product and engineering to uncover insights, build scalable data systems, and bring a data lens to business problems critical to Figma's growth. As an intern on our team, you'll work on technical challenges that have real impact on our product and business, and we're looking for interns with strong foundations in coding and statistics — or data systems — who are clear communicators with both technical and non-technical audiences. This internship will be based out of our San Francisco or New York Hub. ## What you'll do at Figma: - Collaborate with cross-functional teams to turn business questions into data problems - Evaluate experiments and surface metrics that guide product decisions - Build models to understand user behavior and predict growth - Design data pipelines and tools that make product data more scalable and accessible - Focus areas may include analytics, experimentation, or infrastructure - based on your strengths and interests ## Some projects you could work on: - Improve experimentation accuracy and velocity through new testing methodologies - Investigate user behavior and recommend product improvements - Build internal data infrastructure and models that support cross-functional teams - Explore growth opportunities through KPI research and funnel analysis ## We'd love to hear from you if you have: - Experience with Python (or similar scripting language) and SQL - Solid understanding of statistical methods or data systems - Strong problem-solving and communication skills - Familiarity with data infrastructure concepts or large-scale data pipelines