Data Scientist

About Jorie:

Jorie AI, occupies a uniquely interconnected position at the center of the healthcare industry. An inseparable part of today's healthcare billing ecosystem, with leading edge technology that is driving transformation with AI infused Robotic Process Automation for end-to-end Revenue Cycle Management, providing practice and financial management services to the healthcare industry. Applied Intelligence, Better Insight, Accelerated Efficiencies with Jorie AI.

Our work environment:

• Remote opportunities
• Growth advancement opportunities
• Flexible work environment (Work-life Balance)
• Collaborative and friendly company culture

Pay:

• $110-$150K

Job Title: Data Scientist

Job Overview:

We are seeking a highly skilled Data Scientist with strong Healthcare Revenue Cycle Management (RCM) expertise to join our Data Science and Engineering Team. The primary responsibility for this role is to build high-quality, client facing RCM dashboards using Power BI that provide executives and operations teams with actionable insights.

The Ideal candidate understands the full RCM ecosystem, charges, payments, write-offs, denials, AR gaining, coding workflows, payor reimbursement behavior and has advanced analytics skills to translate raw data into meaningful metrics. They should also have experience with Databricks, distributed data processing, predictive modeling, and agile documentation tolls like Confluence and Jira.

This role is highly collaborative and client-facing supporting data discovery, dashboard development, and interpreting insights that drive RCM performance improvement.

Responsibilities:

1. Power BI Dashboard Development (Primary Responsibility)
   • Build end-to-end RCM dashboards in Power BI for new and existing clients.
   • Transform raw encounter, claims, payment, AR, and denial data into intuitive visualizations.
   • Develop KPI frameworks and executive-level dashboards (e.g., collections, denials, AR performance, coding trends).
   • Optimize data models for performance, accuracy, and refresh reliability.
   • Ensure all dashboards adhere to internal design standards, naming conventions, and SOPs.
2. RCM Analytics & Insight Generation
   • Analyze healthcare RCM datasets to uncover trends, bottlenecks, and improvement opportunities.
   • Work directly with RCM and client teams to understand workflows and convert business rules into measurable KPIs.
   • Provide data-driven recommendations to improve reimbursement, throughput, and operational efficiency.
3. Data Engineering & Databricks Collaboration
   • Use Databricks for data discovery, transformation, and validation.
   • Troubleshoot data quality issues and partner with engineers to ensure accurate pipeline execution.
   • Validate that received client data aligns with expected volume, structure, and completeness.
4. Predictive Modeling & Advanced Analytics (Secondary Responsibility)
   • Develop predictive models such as denial prediction, payment probability, and cashflow forecasting.
   • Support innovation in analytics across the department.
5. Project Management, Documentation & Collaboration
   • Use Jira to manage spring tasks, dashboard documentation, metric definitions, and process notes in Confluence.
   • Support onboarding calls, requirements intake, and client data mapping sessions.

Required Qualifications:

• Bachelor’s or Master’s degree in data science, Statistics, Health Informatics, Computer Science, or related field.
• 3-5+ years of hands-on experience in healthcare RCM analytics (claims, billing, AR, payments, denials).
• 2+ years of building Power BI dashboards with strong DAX and modeling skills.
• Strong SQL skills and familiarity with large-scale healthcare datasets.
• Experience working with Databricks
• Proven ability to translate business and RCM requirements into dashboards and KPIs.
• Experience using Confluence and Jira in an agile environment.
• Excellent communication skills with the ability to present insights to clients.
• Strong understanding of HIPAA regulations and healthcare data security.

Preferred Qualifications

• Experience with Azure (ADLS, AKV, ADF).
• Experience automating data ingestion (API, SFTP, RPA).
• Familiarity with Tableau (not required, but helpful).
• Prior consulting or client-facing analytics experience.
• Background supporting medical groups, billing companies, or RCM vendors.

Core Competencies

• Strong analytical and critical thinking
• Clear and concise communication
• Detail-orientation and accuracy in analysis
• Results-driven mindset
• Ability to manage multiple clients and tasks simultaneously
• Collaborative and willing to work cross-functionally

What We Offer

• The opportunity to build analytics dashboards that clients rely on to run their business
• Fast-paced environment with significant impact
• Growth in predictive analytics, automation, and large-scale data engineering
• Collaborative team culture within Data Science & Engineering