Unknown Company

Data Scientist

orange, ca • Posted 5 days ago
Onsite Full Time IT & Technology

Alignment Healthcare USA, LLC is hiring a mission-driven Data Scientist for its Stars team focused on HOS (Health Outcomes Survey) analytics in Orange, CA.

Responsibilities

  • Partner with Stars, clinical, and care management leaders to understand HOS performance drivers and translate them into analytical solutions.
  • Segment members by likelihood to complete the HOS survey and by predicted physical or mental health trajectory to prioritize outreach and interventions.
  • Build and fine-tune predictive models for member-level risk of HOS composite decline, including Improving/Maintaining Physical Health , Improving/Maintaining Mental Health , Monitoring Physical Activity , and Reducing the Risk of Falling .
  • Analyze HOS survey data at the item level to identify which specific questions drive measure performance, beyond composite scores.
  • Create pipelines to track HOS survey administration cycles, including baseline and follow-up cohorts, sampling, fielding, and response rates.
  • Validate case-mix adjustment logic against CMS methodology.
  • Model statistical significance and year-over-year variance to separate genuine performance changes from survey noise or sampling error.
  • Coordinate with HOS survey vendors on cohort tracking, sampling methodology, fielding timelines, and case-mix adjustment specifications.
  • Work with engineering teams to version, test, and deploy models using Git , CI/CD pipelines, and VM environments.
  • Collaborate with clinical, care management, complex case management, Compliance, and Legal teams to ensure HOS-related outputs and interventions align with CMS guidance.
  • Build dashboards showing measure-level HOS performance against Star Rating cut points and prior-year trends for each composite.
  • Standardize definitions, documentation logic, and reporting workflows to scale HOS analytics enterprise-wide.

Requirements

  • 2+ years of relevant experience in predictive modeling and analysis, with demonstrated use on longitudinal or outcomes-based member data.
  • Required: PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Demonstrated experience with CMS HOS survey methodology, including baseline/follow-up cohort design, case-mix adjustment, and item response theory or other psychometric methods.
  • Working knowledge of individual HOS composite measures: Improving/Maintaining Physical Health , Improving/Maintaining Mental Health , Monitoring Physical Activity , Reducing the Risk of Falling .
  • Working knowledge of CMS Star Ratings procedures, including HOS measure weighting, cut-point determination, and integration into overall Star Ratings.
  • Excellent communication, analytical, and collaborative problem-solving skills.
  • Experience delivering end-to-end data science solutions and applying machine learning methods to real-world problems with measurable outcomes.
  • Strong fundamentals in data structures and algorithms.
  • Strong programming skills in one or more of: Python , Java , R , Scala , or C++ .
  • Demonstrated proficiency in SQL and relational databases.
  • Experience with data visualization and presenting complex longitudinal outcomes analysis in clear, actionable terms for non-technical stakeholders.
  • Experience designing experimental or analytical frameworks for complex, ambiguous scenarios, including longitudinal/cohort study design.
  • Understanding of statistical measures such as confidence intervals, significance and error measurement, and development/evaluation data sets.
  • Experience working with complex, high-volume, high-dimensionality, and unstructured data from varying sources.

Technologies

  • Git
  • CI/CD pipelines
  • Virtual machine (VM) environments
  • Python
  • Java
  • R
  • Scala
  • C++
  • SQL
  • Relational databases

Preferred Qualifications

  • Healthcare experience, particularly within Medicare Advantage.
  • Experience with functional status, frailty, or geriatric outcomes modeling.
  • Experience with cloud ecosystems such as Azure or AWS .
  • Published work in academic conferences or industry circles related to survey methodology, psychometrics, or health outcomes measurement.
  • Demonstrable track record of handling ambiguity, prioritizing needs, and delivering results in an agile, dynamic environment.

Work Environment

  • Work environment characteristics described are representative of those an employee encounters while performing essential functions.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Essential Physical Functions

  • Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
  • Regularly required to talk or hear.
  • Regularly required to stand, walk, sit; use hand to finger; handle or feel objects, tools, or controls; reach with hands and arms.
  • Frequently lifts and/or moves up to 10 pounds.
  • Specific vision abilities required: close vision and ability to adjust focus.

Location

  • Orange, CA (onsite)

Compensation

  • USD 149,882 - 224,823 per year
  • Pay range may be based on market location, education, responsibilities, experience, and related factors.

#J-18808-Ljbffr

Data Scientist in orange at Unknown Company

This position is listed as full time and onsite.

Back to Job Search