Data Scientist, Pharmacy – Part D Stars

Alignment Health

. Partner with Pharmacy leadership to understand business problems, propose analytical solutions, and turn findings into actionable stakeholder takeaways .

Posted 9/17/2026full-timeRemote • United StatesJuniorMid-Level💰 $149,882 - $224,823 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive modeling, data analysis, and machine learning methods to drive actionable insights in pharmacy performance. Proficient in building scalable analytical tools and dashboards while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Predictive ModelingData AnalysisMachine LearningSQL ProficiencyData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingJava ProgrammingR ProgrammingScala ProgrammingC++ ProgrammingStatistical AnalysisTime-Series AnalysisData StructuresAlgorithmsExperimental Analytics

Soft Skills

Excellent CommunicationCollaborative Problem-SolvingAnalytical Skills

Tools & Technologies

GitCI/CD PipelinesHadoopSparkCosmosAzureAWS

Industry Keywords

CMS Stars RatingHealthcare AnalyticsHigh-Dimensional DataUnstructured DataInvestment Decisions

Tech Stack

Tools & technologies

AWSAzureCloudHadoopJavaPythonScalaSparkSQLC++

About the role

Key responsibilities & impact

Partner with Pharmacy leadership to understand business problems, propose analytical solutions, and turn findings into actionable stakeholder takeaways
Convert analytical models and business rules into scalable, production-ready tools
Design dashboards and reporting tracking Stars measure trajectories and intervention impact
Build cut-point projection and simulation models forecasting Star Rating outcomes under varying performance and CMS methodology scenarios
Build prioritization rules, measure improvement models, and next-best-action logic
Analyze the financial impact of pharmacy and Star performance to support investment and intervention decisions
Manage projects end to end from problem definition through analysis, model building, validation, deployment support, and ongoing monitoring
Collaborate with data and engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine environments
Standardize definitions, documentation logic, and reporting workflows to scale enterprise-wide AI-readiness
Introduce new data sources, techniques, and emerging tools to improve analytical capabilities
Perform other duties as assigned by the manager

Requirements

What you’ll need

2+ years of relevant experience in predictive modeling and data analysis
Bachelor or Master’s in Computer Science, Engineering, Mathematics, Statistics, or related field, or equivalent related experience
Excellent communication, analytical and collaborative problem-solving skills
Experience building data science solutions and applying machine learning methods to real-world problems with measurable outcomes
Familiarity with time-series analysis or forecasting methods
Solid data structures and algorithms background
Strong programming skills in Python, Java, R, Scala, or C++
Demonstrated proficiency in SQL and relational databases
Experience with data visualization and presentation
Experience setting experimental analytics frameworks or strategies for complex scenarios
Understanding of statistical measures including confidence intervals, significance of error measurements, and development and evaluation data sets
Experience manipulating and analyzing complex, high-volume, high-dimensionality, and unstructured data from varying sources
Preferred: prior healthcare experience, ideally supporting Stars or Part D analytics
Preferred: experience with Hadoop, Spark, or Cosmos
Preferred: experience with Azure, AWS, or other cloud ecosystems
Preferred: strong understanding of CMS Stars rating measures and methodology
Preferred: published work in academic conferences or industry circles
Preferred: demonstrated ability to navigate ambiguity, shifting priorities, and deliver results in an agile environment

Benefits

Comp & perks

Equal Employment Opportunity and Affirmative Action
Reasonable accommodations for individuals with disabilities
Opportunity for growth and innovation