# PhD Intern, Data Science (2027)

**Company**: Figma
**Location**: San Francisco, CA
**Job type**: internship
**Salary**: $68-$68 USD
**Category**: Design
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/figma/jobs/6200626004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ba9a0ae4-e4e

## Description

Figma is growing our team of creatives and builders on a mission to make design accessible to all.

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.

Responsibilities:

- 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

Requirements:

- 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;

- 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

Nice to 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

Benefits:

- Housing stipend and travel reimbursement

Pay Transparency Disclosure:

- $68-$68 USD per hour

## Skills

### Required
- Data Science
- Statistics
- Computer Science
- Human-Computer Interaction
- Economics
- Operations Research
- Physics
- Applied Mathematics
- Python
- R
- SQL
- machine learning
- causal inference
- econometrics
- optimization

### Nice to have
- experimental design
- forecasting
- product measurement
- user research
- applied machine learning
- AI product measurement
- LLM analytics/evaluation
- recommendation systems
- search
- personalization

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/figma/jobs/6200626004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)