Data Scientist, Finance

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Company Overview

A leading collaborative design and technology platform helps teams bring ideas to life, from brainstorming and prototyping to translating designs into code and developing AI-powered workflows. Its platform enables teams to streamline creative and product development processes and collaborate in real time from anywhere in the world.

The organization is expanding its Finance Data Science team at an important stage of its growth. The team supports the financial data foundation required for reporting, forecasting, strategic decision-making, and investor communications while helping the business adapt to new products, AI-powered offerings, acquisitions, and evolving revenue models.

The organization is seeking a Data Scientist, Finance to build and improve data systems that support financial reporting, forecasting, and strategic decision-making. This role will work closely with Strategic Finance, Accounting, Investor Relations, Engineering, Product, and Data teams to ensure financial metrics are accurate, actionable, and trusted across the organization.

The successful candidate will work at the intersection of finance, analytics, data engineering, and business strategy. The role will contribute to data solutions that support executive decision-making, financial reporting, and long-term business planning.

Key Responsibilities

• Own and improve data models supporting financial reporting, including ARR, revenue, billings, collections, and other key business metrics.
• Build scalable reporting systems, forecasting models, and analytical frameworks for Finance, Accounting, Investor Relations, and executive leadership.
• Drive data accuracy and completeness across month-end, quarter-end, and year-end financial close processes.
• Collaborate with Strategic Finance and Accounting teams to improve financial data processes and reporting.
• Partner with Engineering, Product, GTM Systems, and Financial Systems teams to ensure financial data is complete and accurate.
• Conduct deep-dive analyses that support strategic business decisions and identify opportunities to improve business performance.
• Define, measure, and operationalize key financial and operational metrics.
• Design and implement durable data solutions that address immediate stakeholder needs while supporting long-term scalability.
• Serve as a trusted analytical partner to Finance leaders by supporting reporting, forecasting, and business decision-making.
• Translate complex financial and business data into actionable insights for non-technical stakeholders.
• Help establish reliable data foundations that support evolving products, AI-powered offerings, acquisitions, and new revenue models.

Required Qualifications

• 3+ years of experience in Data Science, Analytics, Finance, Financial Systems, Data Engineering, or a related field.
• Advanced SQL skills.
• 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 and actionable business insights for non-technical audiences.
• Experience working independently and taking projects from ambiguous requirements through execution.
• Strong analytical and problem-solving skills.
• Ability to collaborate effectively with cross-functional teams.
• Experience designing scalable data models, analytical frameworks, and reporting solutions.

Preferred Qualifications

• Experience with SaaS, subscription-based, usage-based, or consumption-based business models.
• Knowledge of accounting concepts and revenue recognition principles, including ASC 606.
• Experience with modern analytics and data engineering technologies such as dbt, Snowflake, Git, Spark, Presto, or similar tools.
• 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.
• Experience working with financial data systems and business intelligence platforms.
• Understanding of financial forecasting, reporting, and operational metrics.

Work Arrangement

This is a full-time position that can be held from one of the organization’s U.S. hubs or remotely within the United States.

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