Data Scientist

CVS Health

Remote Hybrid

Quick summary

Work type
Remote
Location
New York, NY
Posted
6 days ago
Closes
Jul 6, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $156k
$87k most similar roles pay here $213k

This listing doesn't post a salary. Most similar roles pay $126,800–$185,650.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 409 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 135 roles with salary data.

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View all roles at CVS Health

At a glance

TL;DR · Data Scientist

Caremark LLC, a CVS Health company, is seeking a Data Scientist in New York to join their team and contribute to the development of advanced algorithms, statistical models, and reporting tools. This role involves implementing systems using data-oriented programming languages and visualization software to analyze large datasets and solve complex business problems. The Data Scientist will assist in deploying data science initiatives by applying machine learning techniques and natural language processing to extract insights from multiple sources, delivering predictive models that inform strategic decisions. Key responsibilities include designing sophisticated data solutions, developing analytical frameworks, and creating performance dashboards to enhance patient care and optimize healthcare operations. The ideal candidate possesses expertise in machine learning algorithms, visualization tools like PowerBI or Tableau, and quantitative analysis techniques such as clustering and regression. Experience with large-scale Spark implementations and product management within a matrixed organization is essential.

What you'll do

  • Implements data-oriented systems using programming languages and visualization software to analyze large datasets.
  • Deploys data science initiatives by applying data mining, modeling, NLP, and machine learning techniques from multiple sources.
  • Designs complex data solutions meeting client requirements and organizational standards using industry tools and best practices.
  • Develops analytical frameworks, key metrics, and performance dashboards to monitor healthcare quality and efficiency.
  • Communicates with stakeholders to understand needs and provide data-driven solutions for improving patient care and operations.

What we're looking for

  • Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or related field required.
  • 2 years of experience in machine learning, statistical analysis, and predictive modeling.
  • Proficient in MySQL or SQL and various visualization tools like PowerBI or Tableau.
  • Experience with large-scale Spark, Data Warehouse, or Big Data implementation.
  • Strong background in quantitative analysis techniques including clustering, regression, and pattern recognition.

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