Career data scientist
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 Science team at Figma partners directly with our product and engineering teams to uncover insights, influence decision making, and apply a data lens to business problems critical to Figma's growth. Our work is diverse and evolving. As a member of our team, you will have the opportunity to work on a wide range of technical challenges from data engineering, analytics, experimentation, and machine learning. We seek data scientists with strong coding and statistics fundamentals and who are excellent communicators with both technical and non-technical audiences. This is a full-time role that can be held from one of our US hubs in the United States. What You'll Do At Figma- Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing to turn business objectives into data problems
- Evaluate experiments to measure the impact of product changes
- Define and surface metrics to guide decision making
- Communicate and document data logging and requirements
- Build models to understand user behavior and predict growth
- Provide thoughtful feedback to others on the team
- A strong baseline in statistics, Computer Science, Mathematics, Economics, or another quantitative field
- Experience with Python or a similar scripting language
- Firm knowledge around statistical methods and models
- A self-starting approach along with strong communication and collaboration skills
- Experience working with business partners to translate ambiguous questions into structured data problems
- Previous internship or project experience applying data science in a product or business context
- Holding interviews in an accessible location
- Enabling closed captioning on video conferencing
- Ensuring all written communication be compatible with screen readers
- Changing the mode or format of interviews
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