Data Scientist, Finance

About the role

This role focuses on enhancing Figma's financial data systems to ensure accuracy and scalability, especially as the company navigates its evolution as a public entity. The work involves owning and improving data models for key financial metrics such as ARR, revenue, and billings, and building robust reporting systems and forecasts. Success in this position means delivering reliable financial data and insights that support strategic decision-making across the organization.

The Data Scientist will collaborate extensively with various internal teams, including Strategic Finance, Accounting, Investor Relations, Engineering, Product, and GTM Systems. A core responsibility is to drive data accuracy and completeness during critical financial close processes. This collaborative environment requires translating complex data into clear, actionable insights for both technical and non-technical stakeholders.

Key contributions will include conducting deep-dive analyses to identify business improvement opportunities and defining operational metrics. The role demands the design and implementation of durable data solutions that balance immediate business needs with long-term scalability. This individual will act as a trusted partner to finance leaders, guiding reporting, forecasting, and overall business decision-making.

The annual salary for this role ranges from $140,000 to $348,000, with equity options also provided.

Skills that matter here

• SQL: Advanced SQL skills are necessary for managing and querying financial datasets, and for building and improving data models.
• Python: Proficiency in Python or a similar programming language is required for data manipulation, analysis, and building scalable reporting systems.
• data modeling: This role involves owning and improving the data models that underpin Figma's financial reporting and key business metrics.
• data analysis: The position requires conducting deep-dive analyses to inform strategic decisions and uncover opportunities for business performance improvement.
• financial reporting: The Data Scientist will build scalable reporting systems that support Finance, Accounting, and executive leadership, ensuring accuracy and completeness.
• forecasting: This role includes developing analytical frameworks and forecasts to support financial planning and strategic decision-making.

Who this role suits

• Someone with at least three years of experience in data science, analytics, or finance-related fields.
• An individual who can work independently, driving projects from initial concept through to execution.
• A person capable of translating complex data findings into clear, actionable insights for non-technical audiences.
• A professional experienced in supporting finance-focused stakeholders like Accounting, Strategic Finance, or Investor Relations.

From the employer

What you'll do at Figma:

• Own and improve the data models that power Figma's financial reporting, including ARR, revenue, billings, collections, and other key business metrics.
• Build scalable reporting systems, forecasts, and analytical frameworks that support Finance, Accounting, Investor Relations, and executive leadership.
• Drive data accuracy and completeness across month-end, quarter-end, and year-end close processes alongside Strategic Finance and Accounting teams.
• Collaborate with Engineering, Product, GTM Systems, and Financial Systems teams to ensure the completeness and accuracy of financial data.
• Conduct deep-dive analyses that inform strategic decisions and uncover opportunities to improve 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, helping guide reporting, forecasting, and decision-making across the business.

We'd love to hear from you if you have:

• 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.

While it's not required, it's an added plus if you also have:

• 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.

What the company offers:

• Competitive salary with equity options.
• Health, dental & vision benefits.
• Retirement plan with company contribution.
• Parental leave & reproductive or family planning support.
• Mental health & wellness benefits.
• Generous PTO and company recharge days.
• Learning & development stipend.
• Work from home stipend and cell phone reimbursement.
• Sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles.