Data Scientist, Core Data - PhD (2026)

Figma•San Francisco, CA

1d•Hybrid

About The Position

Figma is seeking a research-minded Data Scientist to join the Core Data team. This team consists of analytics professionals and Engineers who build foundational platforms for data science at Figma, including experimentation, analytics, and AI tooling. These platforms are crucial for product teams to make data-driven decisions. The role involves close collaboration with Data Infra, ML, and Applied Science teams to evolve platforms and integrate AI into data scientists' workflows. This position is for an individual who excels at combining rigorous research with practical impact, bringing PhD-level expertise to significant problems. Key areas include advancing the experimentation platform, developing machine learning-based analytical systems, and crafting methods for measuring AI-powered features using causal inference and statistical modeling. This is a full-time role available from US hubs or remotely within the United States.

Requirements

PhD in a quantitative field (Statistics, Computer Science, Economics, Operations Research, Physics, or related) with a strong foundation in statistical methods, experimentation, and/or machine learning
Fluency in SQL and proficiency in a scripting language like Python or R, with exposure to distributed data systems (e.g. Snowflake) through research or internships
Ability to communicate technical concepts clearly to both technical and non-technical audiences
A curious and rigorous mindset, with a passion for translating research into real-world impact

Nice To Haves

Publications or research experience in experimentation or applied ML; industry internship experience applying data science to product or business problems
An AI-native mindset, with exposure to or interest in LLM analytics, AI product measurement, or evaluating the impact of AI-powered features
A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments

Responsibilities

Partner across teams to define and track important metrics, develop experiments, and uncover insights that inform strategic decisions
Accelerate Figma's experimentation platform and methodology, including A/B testing frameworks and causal inference techniques
Construct models and analytical frameworks based on machine learning to support product, platform, and business initiatives
Create tools, datasets, and systems that enable others to work with data more efficiently and rigorously
Complete and own complex data projects end-to-end, from problem prioritisation to solution delivery
Drive data quality, accessibility, and the democratization of data across the organization