Data Scientist, Finance
Core
Build the data foundation for financial reporting, forecasting, strategic decision-making, and investor communications at a public company.
Role type
Senior Finance Data Scientist
Builds
Scalable reporting systems, forecasts, and analytical frameworks for Finance, Accounting, Investor Relations, and executive leadership.
Domain
Public company finance, SaaS metrics, financial systems
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
Advanced SQL, Python, financial data modeling, forecasting, data accuracy management, stakeholder communication, project execution
Preferred skills
SaaS/subscription business models, ASC 606 revenue recognition, modern data engineering tools (DBT, Snowflake, Spark), IPO readiness experience, Strategic Finance/FP&A background
Technologies
SQL, Python, DBT, Snowflake, Git, Spark, Presto
Responsibilities
Own and improve data models for financial reporting (ARR, revenue, billings); Build scalable reporting systems and forecasts; Drive data accuracy across month/quarter/year-end close; Collaborate with Engineering and Product teams on financial data completeness; Conduct deep-dive analyses for strategic decisions; Define and operationalize key financial metrics; Design durable data solutions; Serve as a thought partner to Finance leaders.
Seniority
Senior, hands-on IC