Staff Data Scientist - Finance & Accounting

What You’ll Do

• Drive insights and decisions through strategic analysis, reporting, and predictive modeling.
• Design a metrics framework that connects our revenue infrastructure to financial outcomes, surfacing gaps in our data and reporting.
• Define and drive the measurement strategy for collections loss. Build the frameworks we use to understand where and why loss occurs, set targets for improvement, and identify the highest-ROI opportunities to reduce loss so they can be translated into cross-functional initiatives.
• Build forecasts that inform staffing decisions and help us estimate how we’re tracking against goals.
• Partner cross-functionally to ensure our revenue systems provide the auditability and data traceability we need to be GAAP compliant and audit-ready.
• Translate complex technical findings into clear, actionable recommendations for executive stakeholders.

What We’re Looking For

• 10+ years of experience in data science or analytics roles.
• Working knowledge of core finance and accounting concepts such as how transaction-level data powers financial reporting (P&L, balance sheet, and cash flow statement).
• Experience working with healthcare Revenue Cycle Management (RCM) is strongly preferred.
• Proven success partnering cross-functionally with Finance, Accounting, Product, Engineering, and Operations teams, and collaborating internally across Data Engineering and Data Science.
• Proficiency in forecasting and predictive modeling techniques.
• Experience with data modeling, ideally using dbt.
• Hands-on technical fluency in SQL and Python or R.
• Experience adopting and championing AI-assisted tools to accelerate and automate data workflows.
• Strong communication and stakeholder management skills.