Security Scientist

About the Role

As a Security Scientist, you will leverage your data analysis skills and help identify and drive impactful projects to improve the safety and security of Figma's product, platform, and IT systems. You will partner closely with teams in Security Engineering as well as teams across the company to focus on systemic security and safety improvements and risk reduction. You will also apply your security expertise and analytical skills to support and participate in security design reviews and consulting, incident response, and risk management.

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

What You'll Do

• Collaborate cross-functionally across the company to understand existing security and anti-abuse problems and work with engineering, product, data science, and other teams on solutions.
• Understand attacker and user behavior on the Figma platform and inside Figma through creation of new datasets, metrics, experimentation, etc., and guide strategy and decision making.
• Build detections, tune signal quality, and measure coverage across Figma's products, platforms, and internal systems, turning attacker behavior into durable, data-driven detections.
• Lead and support security investigations, developing the datasets, tooling, and analysis that help us scope incidents, understand root cause, and reduce time to detect and respond.
• Translate threat intelligence into action, operationalizing intel on relevant threat actors and techniques to prioritize detection coverage, harden high-risk surfaces, and guide security strategy.
• Conduct investigations and design reviews to identify current and new attack vectors against Figma products and services.
• Advocate for security and secure practices throughout Figma.

Qualifications

Required

• Strong understanding of real-world security, anti-abuse, and detection and response challenges.
• Fluency in SQL, with proficiency in Python, R, or a similar scripting language.
• Experience working with distributed data processing systems and frameworks such as Hive, Redshift, Presto, Snowflake, or Spark.
• Strong knowledge of statistical methods and experimental design.
• Excellent judgment and creative problem-solving skills.

Preferred

• A self-starting mindset along with strong communication and collaboration skills.

Interview & Application Notes

• Candidates are required to keep their cameras on during video interviews.
• In-person attendance is required for onboarding if hired.
• Candidates may submit up to 5 applications during any rolling 30-day period.
• Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.