PhD Intern, Data Science (2027)

Figma
San Francisco +1 more
Career-pivot friendly

Who this role is best for

Geared toward PhD candidates comfortable with end-to-end project ownership and cross-functional collaboration, with opportunities for publication and a focus on applied research in design and AI domains.

Best fit for

  • PhD candidates with a focus on applied research and a desire to influence product and business decisions
    — “own a focused internship project end-to-end, from problem framing and technical execution through final recommendations”
  • Individuals with a background in quantitative fields and strong analytical skills
    — “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”
  • Candidates who can translate complex research into actionable insights for non-technical stakeholders
    — “Ability to explain technical concepts clearly and connect analysis to decisions, recommendations, or product/business impact”

Things to consider

  • In-person attendance is required for onboarding and video interviews, limiting remote flexibility
    — “we require all candidates keep their cameras on during video interviews”
  • The role emphasizes ownership of projects with potential for academic publication
    — “potential to continue toward publication after the internship”

How to stand out

  • Highlight your ability to frame ambiguous questions into rigorous data science problems
    — “turn ambiguous product, platform, or business questions into well-defined data science problems”
  • Emphasize your experience with statistical or machine learning models and analytical frameworks
    — “Design and evaluate experiments, metrics, statistical or machine learning models, and analytical frameworks”
  • Showcase your background in independent research and your thesis or equivalent milestone
    — “demonstrated experience conducting independent research (e.g. thesis or equivalent research milestone)”
Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • publication of research
  • influence on product strategy
Typical background
PhD in Data ScienceStatisticsComputer Science

Skills & requirements

Required

Data AnalysisMachine LearningStatistical ModelingResearch Methodology

Preferred

PublicationsAI Product Measurement

Stack & domain

PythonRSQLStatisticsExperimentationMachine LearningCausal InferenceEconometricsOptimizationUser Research MethodsAi/llmsCommunication

About the role

Original posting from Figma via Greenhouse

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!

Figma’s Data Science team partners across product, engineering, design, marketing, sales, and operations to help Figma make better decisions with data. As a PhD Data Science Intern, you’ll bring rigorous research training to some of Figma’s most important and open-ended questions, from researching emerging product and user behaviors and Figma’s broader ecosystem to developing new measurement methodologies, applying causal inference or machine learning, and building analytical systems. You’ll own a data science project end-to-end: from framing the question and methodology to translating findings into insights that influence Figma’s products, strategy, or data science practices; with the potential to continue toward publication after the internship.

This internship will be based out of our San Francisco or New York hub.

What you’ll do at Figma:

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

We’d love to hear from you if you have:

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)

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

While it's not required, it's an added plus if you also have:

Prior industry or applied research experience with experimental design, causal inference, forecasting, product measurement, user research, or applied machine learning to influence product, business, platform, or stakeholder decisions

Publications or research relevant to applied data science

Experience or interest in AI product measurement, LLM analytics/evaluation, recommendation systems, search, personalization, or evaluating AI-powered features

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.

Pay Transparency Disclosure

This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future.

Internship$68—$68 USDAt Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. 

Examples of accommodations include but are not limited to: 

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 

To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.

Source: Figma careers (Greenhouse)

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