CareSource · 1 day ago
REMOTE - Senior Manager, Program Integrity Data Science - R11184
CareSource is a healthcare organization dedicated to improving lives. The Senior Manager, Program Integrity Data Science will oversee a team responsible for developing algorithms to identify claims for intervention, ensuring accuracy and mitigating fraud within the health plans.
Health CareMedicalNon Profit
Responsibilities
Oversee and manage an ever-changing portfolio of claim-centric algorithms that identify claims pre and post-pay that can be moved into various workflows for intervention – including a request for medical record and audit (correct coding and medical necessity), a downcode to revised reimbursement, etc
Hands-on management of data science function, including technical development and / or direct oversight of technical work product developed by the team
Responsible for providing depositions and testifying in court to support legal actions initiated by CareSource and the Attorney General
Assist in the deployment of advanced analytic solutions into the various functions within Program Integrity (Investigations, Regulatory, Audit, Prepay, etc.)
Conduct outcome analyses to determine impact and effectiveness of corporate and Special Investigations Unit (SIU) initiatives
Translate complex healthcare policies into practical strategies that help identify and enhance opportunities for Program Integrity
Develop hypothesis tests and extrapolations on statistically valid samples to establish outlier behavior patterns and potential recoupment
Assist in the execution and support of various analytic studies that establish Program Integrity as a leader in FWA analytics across markets
Collaborate with cross-functional teams to solve Program Integrity problems, develop new algorithms and models, and identify trends and opportunities
Manage all efforts of your analytics team focusing on thorough but timely investigations, highest impact prioritization, root cause identification, statistical evidence development and investigative actions
Use descriptive statistical techniques to measure impact of various actions/studies, internal and external, develop sampling and hypothesis testing to help the organization determine outcomes
Lead a team of data scientists and statisticians to develop and drive innovative approaches to increase PI effectiveness and efficiency
Develop and implement predictive models, algorithms, and statistical techniques to extract insights from large and complex healthcare datasets
Utilize machine learning algorithms to identify patterns, trends, and opportunities for improving operational efficiency, cost containment, and patient care
Monitor and provide explanation of anomalies related to trends associated with the potential for Fraud Waste and Abuse across the corporate enterprise
Stay abreast of emerging trends, tools, and techniques in predictive analytics, data science, and healthcare informatics to drive innovation and continuous improvement
Provide strategic guidance and recommendations to senior leadership based on data analysis and predictive modeling results
Mentor and develop team members, fostering a collaborative and innovative work environment
Ensure compliance with data privacy and security regulations and maintain the highest standards of data integrity
Perform any other job related duties as requested
Qualification
Required
Bachelor's degree in Data Science, Mathematics, Statistics, Criminal Justice, Medical/Health Care Field, or another related field required
Six (6) years Data Science, Health Care, Legal, Auditing, Claims and/or Investigative Services required
One (1) year Cloud Services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflakes) required
Two (2) years of leadership/supervisory experience required
Strong expertise in statistical modeling, machine learning techniques, and predictive analytics tools such as Python, or R
Proficiency with MS office (Excel, PowerPoint, Word, Access)
Ability to perform advanced statistical analyses and techniques including t-tests, ANOVAs, z-tests, statistical extrapolations, non-parametric significance testing, and sampling methodologies
Demonstrated experience interpreting and applying healthcare policy within clinical, operational, or investigative contexts
Expertise in legal, auditing, and investigative services, as well as proficiency in statistical modeling and anomaly detection
Extensive knowledge of predictive modeling, machine learning, and artificial intelligence
Familiarity with healthcare data sets, including claims data (Professional, facility, pharmacy), electronic health records (EHR), and population health data
Knowledge of healthcare operations, payer and provider models, and industry trends
Proficient in feature engineering techniques and exploratory data analysis
Excellent analytical, problem-solving, and critical-thinking skills, with the ability to translate complex data into actionable insights
Strong project management skills, with the ability to lead and prioritize multiple projects simultaneously
Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders
Leadership qualities, including the ability to mentor and develop a team, foster collaboration, and drive results
AAPC Certified Professional Coder required
Preferred
Master's degree in Data Science, Mathematics, Statistics, Criminal Justice, Medical/Health Care Field, or another related field preferred
Certified Fraud Examiner (CFE) preferred
Certifications through America's Health Insurance Plans (AHIP) preferred
Healthcare Anti-Fraud Association (HCAFA) and/or Managed Healthcare Professional (MHP) preferred
Accredited Health Care Fraud Investigator (AHFI) preferred
Benefits
You may qualify for a bonus tied to company and individual performance
Substantial and comprehensive total rewards package
Company
CareSource
CareSource provides managed care services to Medicaid beneficiaries.
H1B Sponsorship
CareSource has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (30)
2024 (39)
2023 (35)
2022 (21)
2021 (37)
2020 (28)
Funding
Current Stage
Late StageLeadership Team
Recent News
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2025-12-17
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