Senior Data Scientist - Revenue-Cycle Analytics & Databricks

LMI Government Consulting; Northern (KY); Hybrid; USD 140,000 - 186,000; Full time

Job summary

LMI Government Consulting is seeking a Senior Data Scientist to design and implement advanced analytics within a Databricks-based environment for DHA RevOS. You will transform healthcare, coding, claims, and financial data into actionable intelligence, building dashboards and predictive models that identify revenue leakage and recovery opportunities across the full revenue cycle.

Collaborating with data engineers and DHA stakeholders, you will deliver analytical products, baselines, KPIs, and

Qualifications

• 8+ years of professional experience in data science, advanced analytics, or related disciplines.
• Strong hands-on experience with Databricks.
• Advanced proficiency with Python and SQL.
• Experience with Spark/PySpark or comparable distributed computing technologies.
• Ability to translate business and operational problems into measurable analytical hypotheses.
• Ability to develop production-ready analytical products.
• Experience developing dashboards and visualizations for enterprise datasets.
• Strong communication of analytical findings through visualizations to technical and non-technical users.

Responsibilities

• Design and develop advanced analytics within Databricks using Python, SQL, Spark/PySpark, statistical methods, and machine-learning techniques.
• Develop Databricks visualizations, dashboards, and related native visualization capabilities to provide visibility into RevOS performance.
• Create interactive dashboards for DHA users across revenue-cycle, coding, financial, and executive roles.
• Translate analytical models into visualizations showing financial exposure, recovery opportunities, trends, root causes, and priorities.
• Develop SITREP dashboards using Health/At Risk/Critical indicators across revenue cycle.
• Drill-down analytics from enterprise to claim-line levels.
• Design models that identify revenue leakage and recovery opportunities.
• Analyze encounter, coding, claim, denial, and AR data to detect patterns of lost revenue and delays.
• Develop detection logic for missing charges, uncoded/ delayed encounters, coding errors, denials, underpayments.
• Develop recoverability and priority-scoring models based on financial value and aging.

Skills

Databricks

Python

SQL

Spark/PySpark

Machine learning

Data visualization

Communicate findings

Analytics product development

Tools

Databricks Unity Catalog

Delta Lake

MLflow

Job description

LMI Government Consulting is seeking a Senior Data Scientist to design and implement advanced analytics within a Databricks-based environment for DHA RevOS. You will transform healthcare, coding, claims, and financial data into actionable intelligence, building dashboards and predictive models that identify revenue leakage and recovery opportunities across the full revenue cycle.

Collaborating with data engineers and DHA stakeholders, you will deliver analytical products, baselines, KPIs, and