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Senior Data Scientist
CVS Health. Lead and participate in the development, validation, and delivery of advanced analytics, statistical models, machine learning solutions, and reporting tools .
Posted 10/8/2026full-timeRemote • North Carolina • United StatesSenior💰 $83,430 - $166,860 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science, predictive modeling, and machine learning solutions to drive evidence-based decision making and improve healthcare outcomes. Proficient in translating complex data into actionable insights while collaborating effectively with diverse stakeholders.
Highest-signal resume keywords
Data SciencePredictive ModelingMachine Learning SolutionsData Visualization ToolsNatural Language Processing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ModelingData AnalysisData MiningAnalytical FrameworksDashboard DevelopmentPerformance ReportingData Governance PrinciplesData Quality StandardsHealthcare AnalyticsPredictive Analytics Methodologies
Soft Skills
Analytical SkillsProblem-SolvingDecision-MakingCollaborationCommunication
Tools & Technologies
Data Engineering ToolsVisualization TechnologiesAnalytics ToolsMachine Learning FrameworksStatistical Software
Industry Keywords
Healthcare OperationsPatient Care OutcomesEvidence-Based Decision MakingComplex DatasetsConsultative Partner
About the role
Key responsibilities & impact- Lead and participate in the development, validation, and delivery of advanced analytics, statistical models, machine learning solutions, and reporting tools
- Design and implement data-driven solutions using data science, predictive modeling, natural language processing, and visualization technologies
- Solve complex business problems and improve patient care outcomes
- Optimize healthcare operations and enable evidence-based decision making
- Collaborate with business leaders, clinicians, IT teams, and other stakeholders
- Translate data into actionable insights and drive strategic initiatives
Requirements
What you’ll need- 5-7 years of relevant experience in data science, analytics, statistical modeling, or a related field
- Experience designing, developing, and implementing predictive models, machine learning solutions, and analytical frameworks
- Proficiency in data-oriented programming languages and data visualization tools
- Experience working with large, complex datasets and integrating data from multiple sources
- Strong analytical, problem-solving, and decision-making skills
- Ability to communicate complex analytical findings to technical and non-technical audiences
- Experience developing dashboards, metrics, and performance reporting solutions
- Strong collaboration and teamwork skills across functional areas
- Ability to plan, execute, deliver, and support data-driven initiatives
- Knowledge of data governance principles, data quality standards, and analytical best practices
- Experience applying advanced analytics and machine learning techniques within healthcare, payer, provider, or clinical environments
- Knowledge of natural language processing (NLP), data mining, and predictive analytics methodologies
- Experience improving healthcare quality, operational efficiency, or patient outcomes through data science solutions
- Experience presenting analytical results and serving as a consultative partner to business and executive stakeholders
- Familiarity with analytics, visualization, and data engineering tools and technologies
- Experience mentoring team members and promoting data science best practices
- Commitment to continuous learning and staying current with emerging data science technologies and methodologies
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Healthcare Analytics, Engineering, or a related quantitative field preferred
- Equivalent combination of education, specialized training, and relevant professional experience may be considered
- Advanced degree (Master's or Ph.D.) preferred but not required
Benefits
Comp & perks- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources supporting physical, emotional, and financial well-being
- CVS Health bonus, commission or short-term incentive program in addition to base pay