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 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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Caremark LLC, a CVS Health company, is seeking a Data Scientist in New York, NY, to develop and implement advanced analytics applications and predictive models. This role involves transforming complex healthcare data into actionable insights through the use of cutting-edge technologies. Day-to-day responsibilities include designing data models, developing machine learning systems in cloud environments like GCP or AWS, and deploying scalable ML solutions. The ideal candidate will have expertise in R, Python, and SQL, along with experience in NLP frameworks such as Scikit-Learn and Pytorch. Additionally, proficiency in feature engineering, model training, and quantitative analysis techniques is essential. This position requires collaboration on large-scale data science projects and contributing to the development of backend services within a dynamic team environment.

Skills

Python R SOL Scikit-Learn Spacy Pytorch Spark NLP GCP AWS Azure Machine learning operations Feature engineering Model training Hyperparameter tuning Distributed model training Supervised and unsupervised learning Quantitative analysis techniques Clustering Regression Pattern recognition

What you'll do

Develop and implement predictive models using Python, R, or SQL in a cloud environment.
Design data models for analytical and reporting use cases.
Conduct feature engineering and hyperparameter tuning for machine learning systems.
Implement quantitative analysis techniques like clustering and regression.
Deploy and monitor machine learning models in production environments.
Collaborate on backend services development and code reviews.

What we're looking for

Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Analytics, or related field.
Proficiency in R, Python, and SQL for data analysis.
Experience with NLP tools like Scikit-Learn, SpaCy, Pytorch, Spark NLP.
Expertise in designing data models and solutions for analytical use cases.
Ability to develop and deploy predictive ML systems in cloud environments (GCP, AWS, Azure).
Knowledge of machine learning operations including model versioning, monitoring, and deployment.

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