below marketmost similar roles pay hereabove market
This role pays less than
71%
of similar roles. Most pay
$145,200–$205,875
— the blue band above.
At the midpoint, this role pays about
$148k
versus about
$176k
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
119 open roles
on FindRole.
Listed pay typically runs
$106,605–$260,590
across 115 roles with salary data.
The Senior Data Scientist - AI will join the team to develop agents and tools for automation and augmentation use cases within operations. This role involves executing AI projects from conception to completion, ensuring adherence to quality standards and business objectives. The successful candidate will analyze requirements, propose conversational experiences, and determine analytical approaches to evaluate future outcomes. Key responsibilities include performing analyses of structured and unstructured data using statistical techniques and mathematical analyses to solve complex business problems. The position requires proficiency in Python, SQL, and Cloud technology, with specific experience in developing AI/ML-driven products, agentic architecture, and deployment. The role focuses on solving operational challenges by creating predictive modeling, data reports, and performance metrics while collaborating with engineers and product managers to implement enterprise technology solutions.
What does a Data Scientist earn in New York?
Median $173200 from 44 postings across 18 companies.
Develop AI agents and tools for automation and augmentation use cases in operations.
Execute AI projects from conception to completion while meeting timelines and quality standards.
Analyze requirements to propose AI solutions, conversational experiences, prompts, and platform capabilities.
Perform analyses of structured and unstructured data using statistical techniques and mathematical models.
Develop predictive modeling, statistical analysis, and performance metrics to solve complex business problems.
Use Python and SQL to explore, examine, and interpret large volumes of data.
Present results and AI solutions to existing and prospective internal and external constituents.
Implement and support enterprise technology solutions and AI/ML-driven products.
What we're looking for
Bachelor's degree or equivalent work experience in Computer Science, Mathematics, Statistics, Business Analytics, Economics, Physics, Engineering, or a related discipline.
Master’s degree or PhD (preferred).
3+ years of relevant AI and/or analytics experience.
3+ years of experience programming in Python.
3+ years of experience programming in SQL.
3+ years of experience working with Cloud technology.
Experience developing AI/ML-driven products or decision-support tools, familiarity with agentic architecture and deployment.
Experience developing, implementing and supporting enterprise technology solutions.
Experience with Generative AI, large language models (LLMs), prompt design, and AI orchestration (preferred).
Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources (preferred).
Python
SQL
Machine Learning
Generative AI
Large Language Models
LLMs
Statistical Analysis
Predictive Modeling
Causal Inference
AI Agents
Data Science
Experimentation
Model Evaluation
Production Monitoring
Recommendation Systems
Segmentation
Forecasting