Senior Data Scientist - Clearance Required

Overview

The Senior Data Scientist will support the Defense Health Agency (DHA) Revenue Cycle Operating System (RevOS) initiative by designing and implementing advanced analytics, statistical models, predictive capabilities, and decision-support visualizations within a Databricks-based environment.

The role will focus on transforming complex healthcare, financial, coding, claims, payment, and operational data into actionable intelligence that enables DHA to identify revenue leakage, coding and charge-capture errors, denied or stalled claims, underpayments, aged receivables, and opportunities to recover revenue.

The Senior Data Scientist will work closely with Data Engineers, Revenue Cycle SMEs, DHA stakeholders, and product leadership to develop analytics aligned to the end-to-end revenue-cycle workflow:

Scheduling Eligibility Registration Authorization Patient Care Documentation Coding Charge Capture Claims Adjudication Remittance Denials Collections / Recovery

The objective is not simply to produce reports. The role will help create analytical products and Databricks-based dashboards that identify where revenue-cycle processes are failing, quantify financial impact, prioritize corrective action, and measure recovery.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors, helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that