Data Scientist - Specialty Operations

Remote in New York, NY, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
On-site
USD $79,310.00 - 173,040.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Accountability
  • Business Acumen
  • Communication
  • Operational Efficiency
  • Decision-making
  • Advanced Analytics
  • Predictive Modelling
  • Python
  • R
  • Data Analysis
  • SQL
  • Analytical Skill
  • Dashboard
  • Regression Analysis
  • Clustering
  • Testing
  • Forecasting
  • Conflict Resolution
  • Problem Solving
  • Critical Thinking
  • Presentations
  • Pharmacy
  • Health Care
  • Customer Facing
  • Generative Artificial Intelligence (AI)
  • Workflow
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Artificial Intelligence
  • Machine Learning (ML)
  • LangChain
  • Orchestration
  • Analytics
  • Optimization
  • Process Improvement
  • Unstructured Data
  • Natural Language Processing
  • Data Science
  • Statistics
  • Computer Science
  • Mathematics
  • Economics
  • Finance

Summary

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

CVS Health is seeking a Data Scientist to support Specialty Operations through advanced analytics, predictive modeling, and AI-driven solutions. This role will partner closely with business stakeholders to identify opportunities, solve operational challenges, and drive measurable business impact across specialty pharmacy and healthcare operations.

The ideal candidate combines strong statistical and analytical expertise with business acumen and communication skills. This individual will develop predictive models, perform exploratory and statistical analyses, and translate complex findings into actionable recommendations for operational and executive audiences. Experience working in consulting-oriented or business-facing environments is highly valued.

This role also offers the opportunity to contribute to emerging AI initiatives, including the design and development of AI agents and intelligent automation capabilities to enhance operational efficiency and decision-making.

Required Qualifications
  • 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

Preferred Qualifications
  • Experience supporting healthcare, pharmacy, specialty pharmacy, or healthcare operations analytics
  • Consulting experience or experience operating in highly collaborative, client-facing environments
  • Experience developing or deploying AI agents, generative AI solutions, or intelligent automation workflows
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Experience using modern AI/ML frameworks and tools such as LangChain, OpenAI APIs, or orchestration frameworks
  • Knowledge of operational analytics, workforce optimization, or process improvement methodologies
  • Experience working with unstructured data and natural language processing techniques

Education
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field required
  • Master's degree in a quantitative discipline preferred

Anticipated Weekly Hours
40

Time Type
Full time

Pay Range

The typical pay range for this role is:

$79,310.00 - $173,040.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 05/31/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80180635
  • Position Id: 15b64d4ac2f9ff0806d82d2470374d87
  • Posted 5 hours ago
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