Note: The job is a remote job and is open to candidates in USA. CareSource is a healthcare organization seeking a Program Integrity Data Scientist III to lead advanced analytics supporting payment accuracy, anomaly detection, and Fraud, Waste, and Abuse prevention and recovery. The role provides technical leadership for investigations, predictive modeling, dashboards, enterprise integrations, and program integrity initiatives while mentoring analysts and data scientists.
Responsibilities
- Lead the design, development, and implementation of advanced algorithms that identify claims for pre- and post-payment intervention related to potential Fraud, Waste, and Abuse
- Analyze and quantify claim payment issues and provide recommendations to mitigate identified program integrity risks
- Identify emerging trends, risks, and patterns across multiple healthcare datasets and recommend strategic interventions to improve program integrity outcomes
- Mentor and provide technical guidance to analysts and data scientists through code reviews, analytical reviews, and best practice recommendations
- Evaluate emerging analytical, machine learning, and AI techniques to improve fraud detection, anomaly identification, and payment integrity efforts
- Conduct outcome analyses to determine impact and effectiveness of corporate program and payment integrity initiatives
- Lead the examination and interpretation of complex data relationships to support payment integrity, anomaly detection, and FWA investigations
- Lead monitoring and investigation of anomalies and emerging trends associated with potential Fraud, Waste, and Abuse activities across the enterprise
- Collaborate with the legal department, generating data and analyses to support legal proceedings
- Develop hypothesis tests and extrapolations on statistically valid samples to establish outlier behavior patterns and potential recoupment
- Lead development and communication of analytical strategies, project plans, methodologies, and investigative approaches for complex initiatives
- Design and develop advanced dashboards, visualizations, and reporting solutions that demonstrate model performance, program effectiveness, and program integrity outcomes
- Lead development of AI-enabled and business intelligence dashboards that support investigator workflows, fraud detection activities, operational monitoring, and executive decision-making
- Provide statistical validation and analysis of outcomes associated with clinical programs and interventions
- Provide technical leadership in integrating analytical solutions with enterprise systems, platforms, and operational workflows
- Present analytical findings, strategic recommendations, and program integrity insights to leadership and key stakeholders
- Lead preparation and deployment of production-ready analytical code, models, and automated decision-support solutions
- Research policy, billing guidelines, CMS direction and others to ideate new fraud, waste and abuse concepts to implement
- Perform any other job related duties as requested
Skills
- Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or a related field required
- Equivalent years of relevant work experience may be accepted in lieu of required education
- Five (5) years data analysis and/or analytic programming required
- Healthcare experience required
- Advanced proficiency in SQL and at least one programming language such as Python or R
- Proficient in designing and developing dashboards and reporting solutions using Power BI or similar business intelligence platforms
- Ability to perform advanced statistical analyses and techniques including t-tests, ANOVAs, z-tests, statistical extrapolations, non-parametric significance testing, and sampling methodologies
- Advanced knowledge of predictive modeling, machine learning, deep learning, neural networks, graph analytics, graph neural networks (GNNs), clustering, dimensionality reduction, anomaly detection, and natural language processing
- Proficient in feature engineering techniques and exploratory data analysis
- Ability to apply advanced analytical, artificial intelligence, and graph-based techniques to identify complex provider, member, claim, and organizational relationships associated with payment integrity, Fraud, Waste, and Abuse (FWA), anomaly detection, and recovery opportunities
- Ability to analyze large quantities of information and identify patterns, irregularities, and deficiencies
- Strong knowledge of healthcare coding, billing processes, reimbursement methodologies, claims adjudication and Program Integrity concepts
- Proficient with MS office (Excel, PowerPoint, Word, Access)
- Demonstrated critical thinking, verbal communication, presentation and written communication skills
- Ability to independently lead analytical initiatives and collaborate effectively across cross-functional teams
- Familiarity with developing AI-enabled analytical solutions supporting fraud detection, anomaly identification, and payment integrity operations
- Ability to mentor analysts and data scientists through analytical reviews, statistical guidance, and technical coaching
- General office environment; may be required to sit or stand for extended periods of time
- Up to 15% (occasional) travel to attend meetings, trainings, and conferences may be required
- One (1) year Experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflake) preferred
- Experience supporting payment integrity, fraud detection, audit recovery, SIU, or program integrity initiatives preferred
- Experience developing and applying deep learning, neural network, graph analytics, or graph neural network (GNN) solutions for fraud detection, anomaly identification, payment integrity, or healthcare analytics initiatives preferred
- Familiarity with SAS is preferred
Benefits
- Bonus tied to company and individual performance
- Remote work arrangement
Company Overview
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