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Jorie AI

Data Scientist

On site

Oak brook, United states

$ 150,000 /year

Junior

Full Time

21-12-2025

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Skills

Communication Critical Thinking Tableau Jira SQL Data Engineering power bi Azure Project Management Confluence Agile Analytics Spring Data Science Databricks DAX

Job Specifications

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

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.
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.
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.
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.
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

About the Company

Ready to embrace the future of healthcare finance? Discover Jorie, where advanced AI technology harmoniously merges FinTech and HealthTech, revolutionizing your financial processes. Utilizing Robotic Process Automation (RPA) and sharp analytics, we deliver cost-effective solutions, amplifying profitability and scalability. Our AI drastically cut collection costs, boost revenue, and mitigate bad debt write-offs, all while ensuring smooth operations and informed decision-making. Jorie is more than a service; it's a partnership... Know more