We9re looking for a research-minded Data Scientist to join the Core Data team. This team is a group of analytics professionals and Engineers building the foundational platforms for data science at Figma. We build the experimentation, analytics, and AI tooling that every product team relies on to make confident, data-driven decisions, partnering closely with Data Infra, ML, and Applied Science to evolve our platforms and embed AI into the daily workflows of data scientists across the company.

This role is for someone who thrives at the intersection of rigorous research and real-world impact. You9ll bring PhD-level depth to problems that matter. This includes advancing our experimentation platform and developing machine learning-based analytical systems. You will also help craft how we measure AI-powered features through causal inference and statistical modeling.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you9ll do at Figma:

• Partner across teams to define and track important metrics, develop experiments, and uncover insights that inform strategic decisions
• Accelerate Figma9s 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

We9d love to hear from you if you have:

• 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

While it9s not required, it9s an added plus if you also have:

• 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

Pay Transparency Disclosure

If based in Figma9s San Francisco or New York hub offices, this role has the annual base salary range stated below.

Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.

Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma9s compensation and benefits are subject to change and may be modified in the future.

Annual Base Salary Range:

$170,000-$178,000 USD