Redefining impact as a data scientist

This post explores how data science work at Figma's Billing infrastructure differs from traditional product analytics, offering five lessons on expanding impact in complex, correctness-driven domains.

• •Figma hires full-stack data scientists who span experimentation, product analysis, data modeling, and instrumentation within a single role.
• •The Invoice Seat Report was built to reconstruct the full narrative behind each seat charge by unifying product events, contract metadata, and billing rules into plain-language explanations.
• •Consistency checkers—SQL-based invariant tests—compare expected system state against recorded data across multiple sources to catch code-logic and data-quality issues.
• •During Figma's billing model refresh, consistency checkers provided real-time observability in both development and production, catching edge-case bugs before rollout.
• •Repeated analyses should be turned into durable data applications that embed shared logic directly into team workflows, sc