Staff Data Scientist Finance
Job Summary
The Staff Data Scientist for Finance and Accounting will drive data insights strategy for Headway's financial ecosystem. This role involves partnering with Finance, Engineering, and Product teams to improve revenue infrastructure and financial reporting. You will provide a trusted view of company performance to support strategic growth and public company readiness.
Responsibilities
- Drive financial strategy through data analysis and predictive modeling
- Design and optimize revenue infrastructure metrics framework
- Define measurement strategy for collections loss and improvement initiatives
- Collaborate cross-functionally to ensure GAAP compliance and audit readiness
- Communicate complex technical findings to executive stakeholders
Required Skills
- 10+ years in Data Science/Analytics
- Financial/Accounting literacy (P&L, Balance Sheet)
- SQL, Python or R proficiency
- Experience with dbt and data modeling
- Expertise in Revenue Cycle Management (RCM)
Job Details
Responsibilities:
- 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.
- 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.
Required Qualifications:
- 10+ years of experience in data science or analytics roles.
- Working knowledge of core finance and accounting concepts such as transaction-level data powering 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.
- 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.