Senior Data Scientist, Revenue Analytics (Databricks)

LMI Government Consulting; United States; Remote; USD 140,000 - 186,000; Full time

Job summary

LMI Government Consulting is seeking a Senior Data Scientist to design and implement advanced analytics for the Defense Health Agency (DHA) RevOS initiative. The role emphasizes Databricks-based analytics to identify revenue leakage, coding errors, denied or stalled claims, underpayments, and aged receivables while delivering actionable dashboards for leadership.

You will work closely with Data Engineers, Revenue Cycle SMEs, DHA stakeholders, and product leadership to transform healthcare and

Qualifications

• 8+ years of professional experience in data science, advanced analytics, quantitative analysis, machine learning, or related disciplines.

Responsibilities

• Design and develop analytics within Databricks using Python, SQL, Spark/PySpark and statistical methods.
• Create Databricks visualizations and dashboards for operational and executive visibility into RevOS performance.
• Identify revenue leakage, denial patterns, and recovery opportunities through data analysis and predictive models.
• Develop dashboards and KPI metrics to monitor revenue-cycle processes from Front to Back Office.
• Collaborate with Data Engineers to ensure data structures support analytics and dashboard performance.

Skills

Python

SQL

Statistical modeling

Data visualization

Tools

Databricks

Spark/PySpark

Job description

LMI Government Consulting is seeking a Senior Data Scientist to design and implement advanced analytics for the Defense Health Agency (DHA) RevOS initiative. The role emphasizes Databricks-based analytics to identify revenue leakage, coding errors, denied or stalled claims, underpayments, and aged receivables while delivering actionable dashboards for leadership.

You will work closely with Data Engineers, Revenue Cycle SMEs, DHA stakeholders, and product leadership to transform healthcare and