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 407 open roles on FindRole.

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

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At a glance

TL;DR · Data Scientist

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Caremark, LLC., a CVS Health company, seeks a Data Scientist in New York to develop and implement analytics applications and models that transform data into actionable insights for business decision-making. This role involves programming in R, Python, or Hadoop, working with technologies like Spark, Airflow, Kafka, and NoSQL databases such as Oracle, Redis, and Cassandra. The ideal candidate will have experience developing large-scale data applications and collaborating on software development solutions through code reviews and peer collaboration. This position requires a Master’s degree in Computer Science, Data Science, Statistics, or related fields along with two years of relevant work experience.

Skills

Python R Hadoop Spark Airflow Kafka Hbase Pig NoSQL Oracle Redis Cassandra

What you'll do

Develop and implement large-scale data applications using R, Python, or Hadoop.
Create analytics models and transform complex data into actionable insights.
Utilize Spark, Airflow, Kafka, and other big data technologies for project development.
Design backend services and conduct code reviews to ensure software quality.
Collaborate on the creation of innovative solutions in a team environment.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field required.
At least two years of experience in data science, analytics, or software development.
Proficiency in R, Python, and Hadoop for large-scale data applications.
Experience with Spark, Airflow, Kafka, NoSQL databases like Cassandra, and Redis.
Ability to develop backend services and conduct code reviews collaboratively.