below marketmost similar roles pay hereabove market
This role pays more than
52%
of similar roles. Most pay
$135,000–$214,000
— the blue band above.
At the midpoint, this role pays about
$167k
versus about
$174k
for comparable roles.
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
109 open roles
on FindRole.
Listed pay typically runs
$106,605–$260,590
across 107 roles with salary data.
The Senior Data Scientist - Commercial Product Strategy will join the Commercial Product organization to transform complex healthcare data into actionable insights that drive measurable business outcomes. This role involves developing and scaling advanced analytics solutions, including AI-powered business advisory capabilities, to uncover trends and enable smarter decision-making. The individual will partner with Product, Sales, Actuarial, Marketing, and Underwriting teams to inform product design, pricing strategy, go-to-market execution, and performance optimization. Key technical requirements include proficiency in statistical modeling, machine learning, and data analysis using Python, R, and SQL. The role focuses on analyzing large datasets such as healthcare claims and customer behavioral data. Candidates must apply expertise in causal inference, advanced forecasting, and agentic architecture to solve problems within the payer and provider healthcare domain.
What does a Data Scientist earn in New York?
Median $173200 from 42 postings across 18 companies.
Machine Learning
Python
R
SQL
Statistical Analysis
Data Pipelines
Feature Engineering
Causal Inference
Experimentation Frameworks
Model Monitoring
Responsible AI
Data Quality
Data Science
Optimization
Python
SQL
Machine Learning
LLMs
Statistics
Causal Inference
Data Pipelines
Experimentation Design
Production Readiness
AI
Agentic Workflows
Data Quality