# Staff Data Scientist - Finance & Accounting

**Company:** [Headway](https://hotfix.jobs/companies/headway)
**Location:** New York, NY
**Role:** Data Science
**Salary:** $212k – $265k/yr
**Experience:** 10+ years
**Skills:** SQL, Python, R, dbt, Forecasting, Predictive Modeling, Data Modeling, Gaap Compliance, Revenue Cycle Management, Financial Reporting
**Posted:** 2026-03-27

> Staff Data Scientist driving financial insights, metrics frameworks, forecasting, and GAAP-compliant reporting for Headway's revenue infrastructure and RCM systems.

## Job Description

## 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.

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