Program Integrity Data Scientist III - Experience supporting fraud detection, program integrity initiatives preferred

The Program Integrity Data Scientist III is responsible for leading the design, development, and deployment of advanced analytical solutions that support payment accuracy, anomaly detection, and Fraud, Waste, and Abuse (FWA) prevention and recovery efforts. This role serves as a senior analytical resource, providing technical leadership across complex investigations, predictive modeling initiatives, and enterprise program integrity strategies while mentoring junior analysts and data scientists.

Essential Functions:

• 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.

Education and Experience:

• 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
• One (1) year Experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflake) preferred
• Healthcare experience required
• 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

• Advanced proficiency in SQL and at least one programming language such as Python or R
• Familiarity with SAS is preferred
• 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

• None

• 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

$94,100.00 - $164,800.00 CareSource takes into consideration a combination of a candidate’s education, training, and experience as well as the position’s scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee’s total well-being and offer a substantial and comprehensive total rewards package.

Salary

Organization Level Competencies

- Fostering a Collaborative Workplace Culture

- Cultivate Partnerships

- Develop Self and Others

- Drive Execution

- Influence Others

- Pursue Personal Excellence

- Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.

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