Data Scientist, Finance
Figma · San Francisco, CA · 1 wk ago
Engineering$140k–$348k/yrFull-time
About the role
Figma is growing its Finance Data Science team at a critical juncture. This role is crucial for building the data foundation that supports financial reporting, forecasting, strategic decision-making, and investor communications.
Responsibilities
- Own and improve data models for Figma's financial reporting, including ARR, revenue, billings, collections, and other key metrics
- Build scalable reporting systems, forecasts, and analytical frameworks to support Finance, Accounting, Investor Relations, and executive leadership
- Drive data accuracy and completeness across month-end, quarter-end, and year-end close processes
- Collaborate with Engineering, Product, GTM Systems, and Financial Systems teams to ensure financial data completeness and accuracy
- Conduct deep-dive analyses to inform strategic decisions and identify opportunities to enhance business performance
- Define, measure, and operationalize key financial and operational metrics
- Design and implement durable data solutions that balance immediate stakeholder needs with long-term scalability
- Serve as a trusted thought partner to Finance leaders, guiding reporting, forecasting, and decision-making
Requirements
- 3+ years of experience in Data Science, Analytics, Finance, Financial Systems, Data Engineering, or a related field
- Advanced SQL skills and strong proficiency in Python or a similar programming language
- Experience supporting Finance, Accounting, Strategic Finance, FP&A, Investor Relations, or other finance-focused stakeholders
- Demonstrated ability to translate complex data into clear, actionable business insights for non-technical stakeholders
- Experience working independently and driving projects from ambiguity to execution
Qualifications
- Experience with SaaS, subscription-based, usage-based, or consumption-based business models
- Knowledge of accounting concepts and revenue recognition principles (ASC 606)
- Experience with modern analytics and data engineering tools such as DBT, Snowflake, Git, Spark, Presto, or similar technologies
- Experience supporting IPO readiness, public company reporting, SOX controls, audits, or other major corporate milestones
- Background in Strategic Finance, FP&A, Accounting, Investment Banking, Consulting, or related fields