Senior 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 $162k
$103k most similar roles pay here $226k

This listing doesn't post a salary. Most similar roles pay $126,800–$197,133.

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 · Senior Data Scientist

Aetna Resources LLC, a CVS Health company, is seeking a Senior Data Scientist to join their team in New York. This role involves designing systems that utilize data-oriented programming languages and visualization software to explore large datasets and solve complex business problems. The senior data scientist will develop predictive models using machine learning techniques and collaborate with stakeholders across the organization to deliver data-driven solutions. Key responsibilities include creating analytical frameworks, performance dashboards, and consulting on analytics results. The ideal candidate has expertise in SQL, Python, or R, along with experience in Docker, Kubernetes, JIRA, Rally, Confluence, Hive, Cassandra, Pig, MySQL, NoSQL, PowerBI, and Tableau. They should also have a strong background in machine learning algorithms, feature engineering, model training, and distributed computing to improve patient care capabilities and optimize healthcare operations at scale.

What you'll do

  • Designs systems using programming languages and visualization software to analyze large datasets.
  • Defines data science initiatives by applying advanced techniques like machine learning and natural language processing.
  • Develops data solutions that meet client requirements and organizational quality standards.
  • Applies data science expertise to improve patient care, optimize healthcare operations, and drive evidence-based decisions.
  • Creates analytical frameworks and performance dashboards to monitor and evaluate healthcare quality and efficiency.

What we're looking for

  • Master’s degree in Computer Science, Data Science, Statistics, Business Analytics, or related field.
  • 2+ years of experience in data science, analytics, or a related occupation.
  • Proficiency in SQL, Python, R for data analysis and modeling.
  • Experience with Docker, Kubernetes, JIRA, Rally, Confluence for project management.
  • Knowledge of Hive, Cassandra, Pig, MySQL, NoSQL for database management.
  • Expertise in machine learning algorithms and feature engineering.

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