Jobs · Engineering

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

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