Data Scientist – Specialty Operations

CVS Health

Data Scientist supporting Specialty Operations through advanced analytics and AI-driven solutions at CVS Health. Collaborating with business stakeholders to drive measurable business impact and operational efficiency.

Posted 7/9/2026full-timeNew York City • New York • 🇺🇸 United StatesJunior💰 $86,520 - $173,040 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive modeling, statistical analysis, and machine learning techniques, utilizing Python and SQL to drive data-driven business decisions. Capable of translating complex analytical findings into actionable insights for diverse stakeholders in a fast-paced environment.

Highest-signal resume keywords

Predictive ModelingStatistical AnalysisMachine Learning TechniquesPython ProgrammingSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical AnalysisMachine Learning TechniquesData AnalysisExploratory AnalysisRegression TechniquesClassification TechniquesClustering TechniquesHypothesis TestingForecasting

Soft Skills

Problem-SolvingCritical ThinkingPresentation SkillsCommunication Skills

Tools & Technologies

PythonRSQLDashboardsReports

Industry Keywords

Advanced AnalyticsData ScienceAI-Driven SolutionsOperational InsightsIntelligent Automation

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

support Specialty Operations through advanced analytics, predictive modeling, and AI-driven solutions
partner closely with business stakeholders to identify opportunities, solve operational challenges, and drive measurable business impact
develop predictive models, perform exploratory and statistical analyses
translate complex findings into actionable recommendations for operational and executive audiences
contribute to emerging AI initiatives, including the design and development of AI agents and intelligent automation capabilities

Requirements

What you’ll need

1+ years of experience in data science, advanced analytics, or a related quantitative field
Strong experience with predictive modeling, statistical analysis, and machine learning techniques
Proficiency in Python and/or R for data analysis and model development
Experience working with SQL and large-scale structured datasets
Demonstrated ability to communicate analytical findings and recommendations to non-technical business stakeholders
Experience developing dashboards, reports, or operational insights that drive business decisions
Knowledge of statistical techniques such as regression, classification, clustering, hypothesis testing, and forecasting
Ability to work cross-functionally in a fast-paced, business-facing environment
Strong problem-solving, critical thinking, and presentation skills

Benefits

Comp & perks

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
other resources, based on eligibility