Data Scientist in Garner, North Carolina at Community Care of North Carolina Inc
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Job Description
About CCNC
From the mountains to the coast, from large cities to small towns, Community Care of North Carolina is transforming health care. Informed by statewide data and predictive analytics, community-based care-managers work with local physicians and diverse teams of health professionals to develop whole-person plans of care that connect people to the right local resources and increase equity and access to high quality care.
CCNC Mission Statement:
To improve the health and quality of life for all North Carolinians by building supporting better community-based healthcare delivery systems.
Position Summary
As a Data Scientist at CCNC, you will build and maintain predictive models that support our proprietary Impactability™ framework, which identifies Medicaid patients most likely to benefit from care management outreach. You will analyze large claims, clinical, and social determinants of health datasets to surface trends, disparities, and opportunities for population health improvement. You will collaborate closely with clinical, care management, and network teams to translate analytic findings into practical program recommendations.
You will also contribute to the continued development of CCNC's cloud-based analytics infrastructure on AWS, design and run retrospective and prospective program evaluations, and prepare clear data visualizations and reports for both technical and non-technical audiences including executive leadership, payers, and state partners. Additionally, you will support quality improvement initiatives by developing performance metrics and benchmarking tools used by practices across the state.
Essential Functions
- Build and refine machine learning models for our proprietary predictive models
- Design and implement a framework for continuous model improvements for both our Risk and Impactability predictive models
- Evaluate models for potential bias and implement appropriate corrections
- Build New predictive models that address emerging business needs
- Incorporate novel data sources (e.g., clinical data) and variables into the models
- Update and maintain the table of look-up values that contribute to our models
- Monitor and validate the production of algorithms and predictive models within our population health analytics application (Innovaccer)
- Help design and implement evaluations of CCNC programs
- Present and summarize the results of CCNC program evaluations
- Help develop and implement performance metrics and associated benchmarks
- Help the enterprise identify drivers and actionable solutions for reducing total cost of care for our value-based contracts
- Other duties as required
Required Qualifications
- Master's degree or higher (PhD preferred) in Data Science, Biostatistics, Epidemiology, Health Informatics, Computer Science, or a related field (or equivalent professional experience)
- 3+ years of experience applying machine learning and statistical modeling to real-world problems
- Experience working with large, complex datasets — ideally administrative claims, EHR data, or other healthcare data
- Strong SQL skills and comfort working in cloud environments (AWS preferred)
- Strong skills using any statistical software package
- Ability to communicate technical findings clearly to non-technical stakeholders
- Demonstrated commitment to equity and improving outcomes for underserved populations
Preferred Qualifications
- Experience with Medicaid or other public payer data
- Background in program evaluation or applied health services research
- Familiarity with population health management concepts and care management workflows
Working Conditions
- Routinely there may be some minor physical inconveniences or discomforts in the work setting, including sitting for moderate periods of time
- Must be able to utilize office equipment, computer, keyboard and phone with or without assistive devices
- Repetitive wrist motion and occasional lifting/carrying of up to 25 pounds
Why Join Us
- Make a meaningful impact on youth and families across North Carolina
- Work with a supportive and collaborative care team
- Competitive Benefits Package effective first day of employment
- Opportunities for growth, training, and bonus incentives*
Ready to improve the health and quality of life of all North Carolinians by building and supporting better community-based health care delivery systems?
- Apply today and join us in delivering compassionate care that makes a difference.