Genzeon, an AI and automation company with deep engineering and data expertise, dedicated to serving the healthcare and retail industries. Our platform solutions – including HIP One, CompliancePro Solutions, and Patient Engagement Solutions – empower organizations to scale innovation and transform outcomes.
Genzeon is a global community of innovators and problem-solvers, with a culture built on inclusion, flexibility, and purpose-driven work. With four global delivery centers, we support providers, payers, Healthtech, and retail organizations worldwide.
Genzeon has an exciting opening for Data Scientist – MMIS (Medicaid Management Information System) to join our dynamic team.
Job Title: Data Scientist – MMIS (Medicaid Management Information System)
Job Location: Remote (USA)
Job Type: Contract
Job Summary
We are seeking an experienced Data Scientist with MMIS (Medicaid Management Information System) experience to support analytics, predictive modeling, and data-driven decision-making initiatives within Medicaid healthcare programs. The ideal candidate will work closely with business stakeholders, data engineers, and program teams to analyze large healthcare datasets and generate actionable insights that improve program performance, compliance, and cost optimization.
Key Responsibilities
Analyze large-scale Medicaid and healthcare datasets from MMIS platforms.
Develop predictive and statistical models to identify trends, fraud, waste, abuse, and cost-saving opportunities.
Perform data mining, data cleansing, and transformation activities.
Build machine learning models supporting healthcare analytics initiatives.
Collaborate with business analysts, BI teams, and program stakeholders.
Develop dashboards and analytical reports for operational and executive leadership.
Interpret complex data and present insights in business-friendly formats.
Support federal and state reporting requirements (CMS compliance).
Work with structured and unstructured healthcare data sources.
Ensure data governance, quality, and security standards are followed.
Required Qualifications
Bachelor’s or master’s degree in:
Data Science
Computer Science
Statistics
Mathematics
Healthcare Informatics or related field
6+ years of experience in data analytics or data science roles.
Hands-on MMIS experience (MANDATORY).
Experience working with Medicaid or Healthcare payer systems.
Strong programming skills in:
Python or R
SQL (advanced querying)
Experience with machine learning frameworks.
Strong knowledge of statistical analysis and predictive modeling.
Technical Skills
Data Science & Analytics
Machine Learning Algorithms
Predictive Modeling
Statistical Analysis
Data Mining & Pattern Recognition
Tools & Technologies
Python (Pandas, Scikit-learn, NumPy)
R (preferred)
SQL / PL-SQL
SAS (preferred in Medicaid environments)
Tableau / Power BI / Business Objects
Hadoop / Spark (nice to have)
Healthcare & MMIS Knowledge
Medicaid Claims Processing
Provider & Member Data
Encounter Data
CMS Reporting Standards
Healthcare Compliance & Regulations
Preferred Qualifications
Experience working with Gainwell Technologies MMIS modernization projects.
Knowledge of healthcare data standards:
HIPAA
ICD-10
CPT
HL7/FHIR (nice to have)
Experience in Fraud, Waste & Abuse analytics.
Cloud experience (AWS/Azure/Google Cloud Platform).
Soft Skills
Strong analytical and problem-solving skills.
Excellent stakeholder communication.
Ability to translate data insights into business outcomes.
Agile/Scrum environment experience.
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