Data Scientist

CVS Health

Remote

Quick summary

Work type: Remote
Location: Woonsocket, RI
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, is seeking a Data Scientist in Woonsocket, RI, with the option for telecommuting. This role involves developing and implementing analytics applications and models to transform data into actionable insights within large-scale projects. The ideal candidate will contribute to backend services development, conduct code reviews, and collaborate closely with peers on software solutions. Required skills include experience with Python or R programming, traditional relational data warehouse technologies such as Oracle, Teradata, or DB2, SAS or SQL, and big data tools like Spark, Airflow, Kafka, HBase, Pig, and NoSQL. Additionally, expertise in ETL processes and relational database concepts is essential for this role that focuses on solving complex business problems at scale.

Skills

Python R Oracle Teradata DB2 SAS SQL Spark Airflow Kafka Hbase Pig NoSQL ETL Relational database concepts

What you'll do

Develop and implement analytics applications using Python or R.
Contribute to large-scale data science and analytics projects.
Perform ETL processes for data transformation and integration.
Utilize Spark, Airflow, Kafka, HBase, Pig, or NoSQL technologies.
Collaborate on backend service development and code reviews.
Apply traditional relational data warehouse technologies like Oracle.
Develop solutions using SAS or SQL programming languages.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field required.
At least 2 years of experience in data science and analytics projects.
Proficiency in Python or R for programming tasks.
Experience with traditional relational data warehouse technologies like Oracle, Teradata, DB2.
Expertise in SAS or SQL programming languages.
Knowledge of big data tools such as Spark, Airflow, Kafka, Hbase, Pig, NoSQL.
Involvement in ETL processes and understanding of relational database concepts.

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