Staff Data Scientist - Finance & Accounting
About The Position
Headway's mission is to fix the mental healthcare system by building a new system everyone can access, starting by solving the biggest barrier to care: insurance. We have automated the administrative work of credentialing, claims, and payment reconciliation. Over 75,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We are a Series D company with $325M+ in funding (a16z, Accel, Spark Capital, etc.), looking for exceptional people to help us achieve this mission. As a Staff Data Scientist for Finance and Accounting, you will drive data insights strategy for Headway's financial ecosystem. Your mission is to provide a holistic understanding of our financial health and our revenue infrastructure. You will report into the Data team and support Headway's Insurance Group, a mission critical pillar that ensures the systems behind our insurance platform reliably power patient, provider, and payer experiences. Accurate and complete financial visibility is a core part of our operations and essential to Headway's growth. You will partner closely with both the Finance department (including Accounting, Strategic Finance, and FP&A teams) and Engineering, Product, and Operations teams in our Revenue Engine R&D pods to improve our revenue infrastructure and financial reporting. You will define the right questions, uncover opportunities, and work cross-functionally to turn insights into measurable improvements in how we track and report financial performance. In doing so, you will provide a timely and trusted view into company performance that shapes our customer experience and supports Headway's path to public company readiness.
Requirements
- 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.
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 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.
Benefits
- Equity compensation
- Medical, Dental, and Vision coverage
- HSA / FSA
- 401K
- Work-from-Home Stipend
- Therapy Reimbursement
- 16-week parental leave for eligible employees
- Carrot Fertility annual reimbursement and membership
- 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
- Flexible PTO
- Employee Assistance Program (EAP)
- Training and professional development
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
