Staff Data Scientist, Finance & Business Ops
Core
Build and maintain an end-to-end forecasting product (data pipeline to UI) for the CFO organization, integrating AI capabilities to make planning faster and more rigorous.
Role type
Staff Data Scientist (Applied AI & Product Engineering)
Builds
Internal forecasting workbench, self-serve analytics tools, and AI-enabled finance features
Domain
Finance & Business Operations (Forecasting, Planning, AI Strategy)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Time-series forecasting, quantitative analysis, advanced SQL, Python, full-stack web development (JavaScript/TypeScript), data visualization, AI/LLM tooling application, executive communication
Preferred skills
Advanced degree in quantitative field, experience with AI research and roadmap interpretation
Technologies
Python, JavaScript/TypeScript, SQL, modern UI frameworks, data warehouses
Responsibilities
Own forecasting tooling end-to-end from data to UI; ship user-facing product features and dashboards; drive AI adoption and build business cases for AI investment; set AI strategy and advise senior executives; deliver recurring finance analytics and diagnostics; partner with cross-functional stakeholders to translate business questions into tooling
Seniority
Staff, high-autonomy individual contributor with executive influence
