PhD Intern, Data Science (2027)Posted today

The opportunity

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.

What you'll do

  • Partner with cross-functional teams to turn ambiguous product, platform, or: business questions into well-defined data science problems

  • Analyze user, product, or business data to uncover insights and recommend actions

  • Design and evaluate experiments, metrics, statistical or machine learning models, and analytical frameworks

  • Communicate assumptions, tradeoffs, limitations, and recommendations clearly: to technical and non-technical partners

  • Own a focused internship project end-to-end, from problem framing and: technical execution through final recommendations, with potential to continue toward publication after the internship

  • Currently pursuing a PhD in Data Science, Statistics, Computer Science,: Human-Computer Interaction (HCI), Economics, Operations Research, Physics, Applied Mathematics, or a related quantitative field; with demonstrated experience conducting independent research (e.g. thesis or equivalent research milestone)

What they're looking for

  • Demonstrated fluency in one or more research methodologies or technical: areas, such as statistics, experimentation, machine learning, causal inference, econometrics, optimization, user research methods, or AI/LLMs
  • Experience using a scripting language such as Python or R, as well as: proficiency with SQL, for analysis, modeling, or work with complex or large-scale datasets through research, internships, or applied projects
  • Ability to explain technical concepts clearly and connect analysis to: decisions, recommendations, or product/business impact
  • A curious, rigorous, and self-starting mindset, with the ability to thrive in: ambiguous, fast-moving environments and translate research into real-world impact