Data Scientist
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Job Description
Data Scientist building client-facing RCM dashboards using Power BI for healthcare insights. Collaborating with teams to analyze data trends and improve operational efficiency.
Responsibilities:
- 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.
- 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.
- 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.
- Develop predictive models such as denial prediction, payment probability, and cashflow forecasting.
Requirements:
- 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.
Benefits:
- Flexible work environment (Work-life Balance)
- Collaborative and friendly company culture
- Growth advancement opportunities
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