Data Scientist

CVS Health

Remote

Quick summary

Work type: Remote
Location: New York, NY
Posted: 6 days ago
Closes: Jul 6, 2026
Nearby: 99+ roles within 25 mi

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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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At a glance

TL;DR · Data Scientist

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Aetna Resources LLC, a CVS Health company, seeks a senior Data Scientist to formulate advanced mathematical and statistical theories using cutting-edge technologies to analyze petabytes of healthcare data, generating insights that inform network strategies and enhance provider engagement. This role involves building validation models, developing predictive algorithms, and deploying robust solutions through the creation of reporting tools and performance metrics. The ideal candidate will collaborate with business partners to solve complex problems, leveraging skills in Java, Python, Hadoop, R, MySQL, SAS, SQL, machine learning, statistical analysis, and NLP frameworks like Scikit-Learn and Pytorch. Experience in large-scale data analytics projects within the healthcare sector is essential, as is expertise in designing scalable data architectures and distributed computing systems.

Skills

Python Java Node.js R Hadoop MySQL SAS SQL Machine_Learning Statistical_analysis Predictive_modeling NLP Scikit-Learn Spacy Pytorch Spark_NLP Telecommuting

What you'll do

Develop and validate predictive models to inform network strategy and provider engagement.
Analyze petabytes of data to generate insights that enhance consumer experience and network performance.
Utilize advanced statistical methods and machine learning techniques to solve complex business problems.
Collaborate with business partners to develop risk analysis, predictive modeling, and performance metrics.
Design and execute algorithms for evaluating scenarios and predicting future outcomes in healthcare networks.

What we're looking for

Master’s degree in Science or a related field required.
Proficiency in Java, Python, Node.js, Hadoop, R, and SQL.
Experience with MySQL, SAS, statistical analysis, and predictive modeling.
Expertise in NLP using Scikit-Learn, SpaCy, Pytorch, or Spark NLP.
Contributed to large-scale data science or analytics projects.
Analyzed big data sets in healthcare, business, or retail sectors.
Designed complex data architectures including pipelines and ML infrastructure.

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