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# Data Scientist - CAHPS Analytic

- **Company:** Alignment Healthcare USA, LLC
- **Location:** Orange, CA, United States
- **Experience:** Experienced
- **Salary:** $149,882 - $224,823
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, C++ (Programming Language), Computer Programming, Continuous Integration, Data Structures, Data Visualization, Relational Databases, R (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, Scala (Programming Language), SQL Databases, Unstructured Data, Virtual Machines, Cloud Platform System, Delivery Pipeline, Git, Information Technology, Machine Learning Operations
- **Published:** November 12, 2026
- **Apply:** https://www.jofdav.com/jobs/60513446-data-scientist-cahps-analytic

## About the Role

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

 * Minimum Experience:
 + 2+ years of relevant experience in predictive modeling and analysis, with demonstrated application to survey-based or member experience data.
 * Education/Licensure:
 + Required: PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field.
 * Domain Expertise (Required):
 + Demonstrated experience with CMS/NCQA CAHPS survey methodology, including case-mix adjustment, sampling and fielding cycles, and item response theory or other psychometric methods.
 + Working knowledge of individual CAHPS measure domains: Getting Needed Care, Getting Appointments and Care Quickly, Customer Service, Care Coordination, Rating of Health Care Quality, and Rating of Health Plan.
 + Working knowledge of CMS Star Ratings procedures, including how CAHPS measures are weighted, cut-point determined, and incorporated into the overall Star Rating.
 * Other:
 + Excellent communication, analytical, and collaborative problem-solving skills.
 + Experience building end-to-end data science solutions and applying machine learning methods to real-world problems with measurable outcomes.
 + Solid data structures and algorithms background.
 + Strong programming skills in one of the following: Python, Java, R, Scala, or C++.
 + Demonstrated proficiency in SQL and relational databases.
 + Experience with data visualization and presentation, turning complex survey analysis into clear, actionable insight for non-technical stakeholders.
 + Experience setting experimental or analytical frameworks for complex, ambiguous scenarios.
 + Understanding of relevant statistical measures such as confidence intervals, significance of error measurement, and development/evaluation data sets.
 + Experience manipulating and analyzing complex, high-volume, high-dimensionality, and unstructured data from varying sources.
 * Preferred Qualifications:
 + Healthcare experience, particularly within Medicare Advantage.
 + Experience applying NLP techniques to open-ended survey comment analysis.
 + Experience in cloud ecosystems such as Azure or AWS.
 + Published work in academic conferences or industry circles related to survey methodology, psychometrics, or member experience measurement.
 + Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic environment.

## Description

* Collaborate with Stars, member experience, and operations leaders to understand CAHPS performance drivers and translate them into analytical solutions.
 * Segment members by likelihood to respond to the CAHPS survey and by predicted satisfaction, to prioritize outreach and intervention.
 * Build and fine-tune models predicting member-level risk of low CAHPS domain scores, including Getting Needed Care, Getting Appointments and Care Quickly, Customer Service, Care Coordination, Rating of Health Care Quality, and Rating of Health Plan.
 * Analyze item-level CAHPS survey data, not just composite or domain scores, to isolate which specific survey questions are driving measure performance.
 * Build pipelines that track CAHPS survey administration cycles - sampling, fielding, and response rates - and validate case-mix adjustment logic against CMS/NCQA methodology.
 * Model statistical significance and year-over-year variance to distinguish genuine performance shifts from survey noise or sampling error.
 * Coordinate with CAHPS survey vendors on sampling methodology, fielding timelines, and case-mix adjustment specifications.
 * Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine (VM) environments.
 * Partner with member experience, call center, provider network, Compliance, and Legal teams to ensure CAHPS-related data outputs and interventions align with CMS guidance.
 * Build dashboards tracking measure-level CAHPS performance against Star Rating cut points and prior-year trend for each domain.
 * Help standardize definitions, documentation logic, and reporting workflows to scale CAHPS analytics enterprise-wide