Data Scientist

CVS Health

Remote

Quick summary

Work type
Remote
Location
Wellesley, MA
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 407 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 133 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Data Scientist

Aetna Resources, LLC., a CVS Health company, seeks Data Scientists in Wellesley, MA to develop and implement analytics applications and models that transform data into actionable insights. This role involves working with big data platforms like Hadoop, Spark, Kafka, and NoSQL databases, as well as leveraging machine learning frameworks such as PySpark, Scala, Java, Scikit-Learn, SpaCy, and PyTorch. Candidates will also manage cloud infrastructure using Kubernetes and containerized services while utilizing GPU or CPU resources for high-performance computing tasks. The ideal candidate holds a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field with relevant coursework or experience in programming languages like R, Python, and SQL. This position addresses critical business challenges within the healthcare industry at scale.

What you'll do

  • Develop and implement analytics applications using R, Python, or SQL.
  • Work with big data platforms like Hadoop, Spark, Kafka, and NoSQL databases.
  • Utilize PySpark, Scala, or Java for large-scale data processing tasks.
  • Apply machine learning techniques such as Scikit-Learn and PyTorch to datasets.
  • Manage cloud infrastructure including Kubernetes and containerized services.
  • Conduct research projects involving GPU/CPU infrastructure components.

What we're looking for

  • Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field required.
  • Proficiency in R, Python, and SQL for data analysis and programming.
  • Experience with big data platforms like Hadoop, Spark, Kafka, and NoSQL databases.
  • Expertise in machine learning frameworks such as Scikit-Learn, PyTorch, and Spark NLP.
  • Knowledge of cloud infrastructure including Kubernetes, cluster management, and containerized services.
  • Understanding of GPU/CPU infrastructure for high-performance computing tasks.

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