Senior 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 $162k

$98k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $126,800–$198,000.

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 · Senior Data Scientist

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Caremark LLC., a CVS Health company, seeks a Senior Data Scientist for its Woonsocket, RI office with telecommuting options available. This role involves leading statistical analysis and predictive modeling projects, developing machine learning models using R, Python, Hadoop, SAS, and SQL, and implementing natural language processing techniques with Scikit-Learn, SpaCy, PyTorch, or Spark NLP. The ideal candidate will engage in feature engineering, hyperparameter tuning, distributed model training, and both supervised and unsupervised learning implementations while ensuring scalability through model versioning, lineage tracking, monitoring, hosting, deployment, and orchestration. This position requires a Master’s degree in Computer Science, Data Science, Biostatistics, Mathematics, Analytics, or a related field, along with relevant coursework, projects, internships, or thesis work in the specified areas.

Skills

Python R SAS SQL Hadoop Scikit-Learn Spacy Pytorch Spark NLP Feature engineering Hyperparameter tuning Distributed model training Supervised learning Unsupervised learning Model versioning Model hosting Data lineage Monitoring Machine learning algorithms

What you'll do

Conduct statistical analysis and predictive modeling using advanced techniques.
Develop machine learning models with hyperparameter tuning and distributed training.
Implement feature engineering for supervised and unsupervised learning algorithms.
Create data science products through model hosting, deployment, and monitoring.
Utilize programming languages like R, Python, SAS, and SQL for data manipulation.

What we're looking for

Master’s degree in Computer Science, Data Science, Biostatistics, Mathematics, Analytics, or related field required.
Proficiency in statistical analysis and predictive modeling using R, Hadoop, Python, SAS, SQL.
Experience with NLP tools like Scikit-Learn, SpaCy, Pytorch, Spark NLP.
Expertise in feature engineering, model training, hyperparameter tuning, distributed learning.
Knowledge of machine learning operations including versioning, lineage, monitoring, hosting, deployment.
Ability to develop data science products and ensure scalability and orchestration.

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