Data Science Intern (2027)

Figma•San Francisco, NY

2d•Onsite

About The Position

Figma is growing its 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! Figma’s Data Science team partners across product, engineering, design, marketing, sales, and operations to help Figma make better decisions with data. 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 and 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.

Requirements

Experience using SQL and a scripting language such as Python or R to clean, explore, and analyze data through research, projects, or prior work.
A solid foundation in statistics and quantitative reasoning, with exposure to areas such as experimentation, forecasting, statistical modeling, causal inference, or data modeling.
The ability to structure open-ended questions, validate your analysis, and connect findings to product or business decisions.
Curiosity, initiative, and strong communication and collaboration skills with both technical and non-technical partners.

Nice To Haves

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.

Responsibilities

Own a scoped project end to end—from framing the question with Product, Engineering, Design, and Data Science partners through delivering the work—with support from a manager and mentor.
Analyze user behavior, product performance, or business data to uncover insights and translate them into recommendations for business.
Design and evaluate experiments and develop metrics that help teams understand the impact of product changes.
Build models to understand user behavior and predict growth.
Build and improve data pipelines and tools that make product data more scalable and accessible.
Focus areas may include analytics, experimentation, or infrastructure - based on your interests and business needs.