Senior Data Scientist

CVS Health

Remote

Quick summary

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

Market check

Salary context

How this pay compares to similar roles

Similar $162k
$98k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $126,800–$198,000.

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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At a glance

TL;DR · Senior Data Scientist

Aetna Resources LLC, a CVS Health company, is seeking a Senior Data Scientist in New York to develop and apply advanced mathematical and computational models for data extraction and manipulation. This role involves working within a collaborative team to build scalable machine learning solutions using tools like Hadoop, Spark, and PySpark, while also managing model versioning, monitoring, and deployment through CI/CD pipelines with Jenkins and Git. The ideal candidate will have expertise in Java, Python, or Node.js, along with experience in ETL processes and quantitative analysis techniques such as clustering and regression. Knowledge of MySQL and SQL is essential for database management, and familiarity with the end-to-end data science lifecycle is crucial to deliver impactful solutions at scale.

What you'll do

  • Apply advanced mathematical and computational methods to extract and manipulate complex datasets.
  • Develop and maintain machine learning models using tools like Spark and PySpark for scalable solutions.
  • Implement ETL processes to ensure clean and efficient data flow within the organization.
  • Conduct quantitative analysis, including clustering and regression techniques, to derive insights from data.
  • Version control and manage model lineage in a CI/CD pipeline using Jenkins and Git.
  • Deploy machine learning models with monitoring and scalability considerations for production environments.

What we're looking for

  • Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field required.
  • One year of experience in CI/CD, Jenkins, GIT, DevOps, Java, Python, Node.js, MySQL, SQL, Hadoop, Hive, Spark, PySpark.
  • Experience with machine learning operations including model versioning and deployment.
  • Knowledge of ETL processes and quantitative analysis techniques like clustering and regression.
  • Understanding of end-to-end data science lifecycle and workflow.

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