Jobs · Engineering

Data Scientist, Core Data - PhD (2026)

Figma · San Francisco, CA · Yesterday
Engineering$170k–$178k/yrVolunteer

About the role

Figma is seeking a research-minded Data Scientist to join the Core Data team. This role involves advancing the experimentation platform and developing machine learning-based analytical systems, while also helping to craft how we measure AI-powered features through causal inference and statistical modeling.

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
  • Create models and analytical frameworks based on machine learning to support product, platform, and business initiatives
  • Construct 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 prioritization to solution delivery
  • Drive data quality, accessibility, and the democratization of data across the organization

Requirements

  • PhD in a quantitative field (Statistics, Computer Science, Economics, Operations Research, Physics, or related)
  • A strong foundation in statistical methods, experimentation, and/or machine learning
  • Proficiency 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
  • The 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

Qualifications

  • 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

Skills

  • Research and development skills
  • Data analysis and interpretation
  • Experimentation and statistical modeling
  • Collaboration and communication

Benefits

  • Competitive compensation and benefits
  • Health, dental & vision insurance
  • Roth 401(k) plan with company match
  • Parental leave & reproductive or family planning support
  • Mental health & wellness benefits
  • Generous paid time off
  • Company recharge days
  • Learning & development stipend
  • Work from home stipend
  • Cell phone reimbursement

Pay

  • Annual Base Salary Range: $170,000—$178,000 USD

Schedule

  • Full-time role
  • Can be held from one of our US hubs or remotely in the United States

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