Senior 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 $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

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Aetna Resources LLC, a CVS Health company, is seeking a Senior Data Scientist to join their team in New York, with telecommuting options available. This role involves designing advanced data models and solutions for analytical and reporting use cases, conducting machine learning projects, and analyzing large datasets from multiple sources using big data platforms like Hadoop on Azure, GCP, or AWS. The ideal candidate will have a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or a related field, along with experience in Java, Python, Node.js, R programming, and NLP frameworks such as Scikit-Learn, SpaCy, PyTorch, and Spark NLP. The position requires expertise in predictive modeling, statistical analysis, and handling complex data sets to solve business problems at scale.

Skills

Python Java R Machine learning Statistical analysis Predictive modeling Hadoop Azure GCP AWS NLP Scikit-Learn SpaCy Pytorch Spark NLP

What you'll do

Design complex data models for analytical and reporting use cases.
Conduct machine learning projects using Python, R, or Node.js frameworks.
Implement natural language processing solutions with Scikit-Learn or Pytorch.
Analyze big data sets on Hadoop-based platforms like Azure or AWS.
Develop predictive models to forecast business trends and outcomes.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or related field.
Completion of university-level courses or projects in Java, Python, Node.js.
Proficiency in programming with R for statistical analysis and machine learning.
Experience designing data models and solutions for analytical and reporting use cases.
Expertise in NLP using Scikit-Learn, SpaCity, Pytorch, or Spark NLP.
Knowledge of big data platforms like Hadoop on Azure, GCP, or AWS.
Ability to analyze large datasets from multiple sources.

Data Scientist

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Python R AWS PostgreSQL Git Jupyter Notebook Scikit-learn Pandas NumPy CI/CD

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