Data Scientist

CVS Health

Remote Hybrid

Quick summary

Work type: Remote
Location: Wellesley, MA
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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CVS Health is seeking a Data Scientist in Wellesley, MA to join the CVS Shared Services Resources team. This role involves developing and implementing analytics applications and models to transform complex healthcare data into actionable insights. The ideal candidate will analyze large datasets from various sources, conduct marketing analytics, clinical trials, or health research, and design robust data architectures including pipelines and machine learning infrastructure. Key responsibilities include programming in R, Python, and Hadoop, working with big data platforms like Azure, GCP, or AWS, and managing machine learning operations such as model versioning and monitoring. The position requires expertise in quantitative analysis techniques and large-scale Spark implementation to drive technology modernization initiatives within the healthcare industry.

Skills

Python R Hadoop AWS Azure GCP Spark Data Warehouse Machine Learning Clustering Regression Pattern Recognition CI/CD

What you'll do

Analyze large healthcare industry datasets from various sources.
Develop marketing analytics and clinical trial models using R or Python.
Design data architectures, including pipelines and machine learning infrastructure.
Implement big data platforms like Hadoop on Azure, GCP, or AWS.
Execute quantitative analysis techniques such as clustering and regression.
Manage machine learning operations, including model versioning and monitoring.

What we're looking for

Experience in analyzing large healthcare industry datasets from multiple sources.
Proficiency in R, Python, and Hadoop for data analysis and machine learning.
Expertise in designing big data architectures and implementing Spark or Data Warehouses.
Knowledge of "big data" platforms like Azure, GCP, or AWS.
Skills in quantitative analysis techniques such as clustering and regression.
Experience with machine learning operations including model versioning.

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