Data Scientist
FigmaSan Francisco, CA • New York, NY • United StatesPosted 24 February 2026
Job Description
<div class="content-intro"><p>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!</p></div><div class="section page-centered">
<p>We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data Scientists are deeply embedded within cross-functional teams across the company—from Product to Finance, Marketing, and Platform. We are hiring across a number of roles in these areas. This is ideal for someone excited to own high-impact data projects, partner strategically with stakeholders, and shape the future of our products and business.</p>
<p>The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset to guide decision-making and unlock growth opportunities. You’ll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling.</p>
<p>This is a full-time role that can be held from one of our US hubs or remotely in the United States.</p>
<h3>What you’ll do at Figma:</h3>
<ul>
<li>Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions</li>
<li>Build models and analytical frameworks to support product, marketing, platform, or finance initiatives</li>
<li>Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously</li>
<li>Own complex data projects end-to-end—from problem scoping to solution delivery</li>
<li>Champion data quality, accessibility, and the democratization of data across the organization</li>
<li>Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact</li>
</ul>
<h3>We'd love to hear from you if you have:</h3>
<ul>
<li>4+ years of experience in Analytics, Data Science, or a related field</li>
<li>Fluency in SQL and proficiency in a scripting language like Python or R</li>
<li>Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark)</li>
<li>Strong foundation in statistical methods, experimentation, and/or forecasting</li>
<li>A track record of working cross-functionally and communicating effectively with both technical and non-technical partners</li>
<li>Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams</li>
</ul>
<h3><strong>While it’s not required, it’s an added plus if you also have:</strong></h3>
<ul>
<li>A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments</li>
</ul>
<div class="section page-centered">
<div>
<div>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.</div>
</div>
</div>
</div><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong><span style="font-size: 16px;">Pay Transparency Disclosure</span></strong></p>
<p>If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. </p>
<p>Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including ... (truncated, view full listing at source)
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