Senior Data Scientist

CVS Health

Closes in 7 days Remote

Quick summary

Work type: Remote
Location: Chicago, IL
Posted: 7 days ago
Closes: Jul 6, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $160k

$98k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $126,800–$193,031.

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 401 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 126 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Data Scientist

Role Posting Log in to save

Caremark LLC, a CVS Health company, seeks a Senior Data Scientist in Chicago to join their team focused on leveraging advanced analytics for business impact. This role involves daily responsibilities such as conducting data analysis and visualization using tools like SAS, SPSS, R, Python, SQL, and Tableau, developing predictive models, and implementing machine learning algorithms. The ideal candidate will have expertise in statistical modeling, including non-linear regression, multivariate analysis, Bayesian methods, and neural networks, along with experience in study design and evaluation protocols for both prospective and retrospective studies. They should be adept at coding in Python, R, or SAS to build large datasets and maintain methodologies for standardized reporting. The position requires a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field, and three years of experience in data analytics, statistical modeling, and data visualization with a proven track record of delivering impactful insights in the retail industry.

Skills

Python R SAS SPSS SQL Tableau Non-Linear Regression Analysis Multivariate Analysis Bayesian Methods Generalized Linear Models Decision Trees Random Forest Neural Networks Ensemble Models Database Management Data Visualization Machine Learning Statistical Modelling

What you'll do

Conduct advanced statistical modeling using techniques like Bayesian Methods and Generalized Linear Models.
Develop predictive models for retail industry applications, ensuring accuracy and relevance.
Design and implement data visualization reports with tools such as Tableau or Python.
Create methodologies for standardized reporting to meet both internal and external needs.
Code complex algorithms in languages like R, Python, or SAS for large datasets analysis.
Construct and validate predictive models using machine learning techniques and ensemble methods.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field required.
Three years of experience in data analytics, statistical modeling, and visualization with business impact.
Proficiency in SAS, SPSS, R, Python, SQL, Tableau for data analysis and visualization.
Experience in machine learning techniques including non-linear regression, Bayesian methods, neural networks.
Development of study designs and evaluation protocols for prospective and retrospective studies.
Expertise in statistical methodologies, database management, predictive modeling in retail industry.

Save