Data Scientist – CAHPS Analytic

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with Stars, member experience, and operations leaders to identify CAHPS performance drivers and convert them into analytical solutions.

• Segment members based on their likelihood to respond to the CAHPS survey and their predicted satisfaction levels.

• Develop and refine models that forecast member-level risk of low CAHPS domain scores.

• Examine item-level CAHPS survey data to pinpoint survey questions that influence measure performance.

• Create pipelines that monitor CAHPS survey administration cycles, sampling processes, fielding, and response rates.

• Validate case-mix adjustment logic according to CMS/NCQA standards.

• Model statistical significance and year-over-year variance to differentiate performance changes from survey noise or sampling errors.

• Coordinate with CAHPS survey vendors regarding sampling methodologies, fielding schedules, and case-mix adjustment specifications.

• Work alongside engineering teams to version, test, and deploy models utilizing Git, CI/CD pipelines, and VM environments.

• Partner with member experience, call center, provider network, Compliance, and Legal teams to ensure outputs and interventions align with CMS guidance.

• Construct dashboards that track CAHPS performance against Star Rating thresholds and trends from previous years.

• Assist in standardizing definitions, documentation logic, and reporting workflows for CAHPS analytics across the enterprise.

⛳️ Requirements

• A minimum of 2 years of relevant experience in predictive modeling and analysis, specifically applied to survey-based or member experience data.

• A PhD in Computer Science, Engineering, Mathematics, Statistics, or a related discipline is required.

• Proven experience with CMS/NCQA CAHPS survey methodology, including case-mix adjustment, sampling and fielding cycles, and psychometric methods such as item response theory.

• Familiarity with individual CAHPS measure domains.

• Knowledge of CMS Star Ratings procedures.

• Experience in developing end-to-end data science solutions and employing machine learning techniques to tackle real-world issues with measurable results.

• Strong foundation in data structures and algorithms.

• Proficient programming skills in Python, Java, R, Scala, or C++.

• Demonstrated expertise in SQL and relational databases.

• Experience in data visualization and presentation.

• Background in establishing experimental or analytical frameworks for complex, ambiguous situations.

• Understanding of confidence intervals, significance of error measurement, and the development/evaluation of data sets.

• Experience in manipulating and analyzing complex, high-volume, high-dimensional, and unstructured data from various sources.

• Preferred: Experience in healthcare, especially within Medicare Advantage.

• Preferred: Experience using NLP techniques for analyzing open-ended survey comments.

• Preferred: Familiarity with cloud ecosystems such as Azure or AWS.

• Preferred: Published research related to survey methodology, psychometrics, or member experience measurement.

• A proven ability to navigate ambiguity, prioritize needs, and achieve results in an agile, dynamic setting.

🏝️ Benefits

• Equal Opportunity/Affirmative Action Employer.

• Reasonable accommodations are available for individuals with disabilities.