Senior Data Scientist

CVS Health

Remote

Quick summary

Work type: Remote
Location: Hartford-Farmington Ave Rogers
Posted: 6 days ago
Closes: Jul 6, 2026

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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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Aetna Resources LLC, a CVS Health company, seeks a Senior Data Scientist in Hartford, CT, with the option for telecommuting. This role involves applying advanced mathematical and computational methods to extract and manipulate data from various sectors including health, education, and public safety. Day-to-day responsibilities include developing subroutines, conducting exploratory data analysis, creating predictive models using regression and forecasting techniques, and visualizing complex datasets. The ideal candidate will have expertise in machine learning algorithms, pattern recognition, and experience with programming languages such as R, Python, and Octave, alongside proficiency in tools like Matlab, SAS, or SPSS.

Skills

Python R Matlab SAS SPSS Machine_Learning Data_Visualization Big_Data Exploratory_Data_Analysis Predictive_Analytics Descriptive_Analytics SQL Git Jupyter_Notebook

What you'll do

Develop mathematical and computational models for data extraction and manipulation.
Conduct exploratory data analysis including pre-processing and cleaning of datasets.
Apply predictive analytics techniques such as regression, forecasting, and simulations.
Create visual and graphical representations of complex data sets.
Implement machine learning algorithms for pattern recognition and decision-making.
Write subroutines/codes/scripts using programming languages like Python and R.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field required.
Experience with big data and smart data modeling, visualization, and application in various sectors.
Proficient in exploratory data analysis, including pre-processing, cleaning, and preliminary examination.
Expertise in predictive analytics techniques such as regression, forecasting, and simulations.
Strong skills in machine learning, including algorithm development, data mining, and pattern recognition.
Programming proficiency in R, Octave, Python, Matlab, SAS, or SPSS.

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