A Figma data scientist shares lessons from working on billing infrastructure, arguing that impactful data science extends well beyond A/B tests and ML models. The post covers how the team built two key tools: an Invoice Seat Report that reconstructs the full narrative behind each seat charge, and SQL-based consistency checkers
Table of contents
Think of data science as a full-stack disciplineNot all data science explanations come from charts or modelsData scientists can inform technical direction, not just product directionBuilding data applications scales your impactThe data science process doesn’t change, even if the work doesSort: