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# Senior Decision Scientist - AI

- **Company:** CVS Health
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $111,240.0 - $222,480.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Data Visualization, R (Programming Language), Python (Programming Language), Machine Learning, Rapid Prototyping Process, Power BI, SQL Databases, Systems Architecture, Tableau (Software), Feature Engineering, Data Ingestion, Model Validation, Data Analytics, Machine Learning Operations, Data Pipelines, Unsupervised Learning
- **Published:** October 5, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3419705105&tx=KJ4949FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 3+ years of professional experience in data analytics, machine learning, BI, data engineering, or applied data science
 * 3+ years of experience using with SQL and Python/R for dataanalysis
 * 2+ years of experience using statistical techniques on complex data to solve businessproblems
 * Proven track record of leveraging data to influence cross-functional stakeholders, partners, and leadership to drivedecisions
 * Ability to clearly articulate and communicate complex problems and solutions in a simple, logical, and impactfulmanner
 * 1+ years of experience with data visualization tools such as Tableau, R Shiny, or Power BI
 * 1+ years of demonstrated ability to manage relationships with technical and non-technicalstakeholders, * Strong foundation in core ML concepts including supervised and unsupervised learning, model evaluation, and feature engineering
 * Ability to think end-to-end, connecting back-end data pipelines, model development, and front-end delivery
 * Experience designing or contributing to ML system architecture
 * Hands-on experience leveraging AI to improve models and a bias toward rapid prototyping and iteration
 * Comfortable working across technical and non-technical stakeholders
 * Experience with model deployment and production rollout is a plus

Education

 * Bachelor's degree in a business or quantitative field, or equivalent formal education and experience
 * Master's degree in a business or quantitative field preferred

## Description

* Work closely with our Marketing and Sales partners to inform Aetna's Medicare member growth strategy through analytics - e.g., customer segmentation, test design, forecasting, what-if scenarios, and more
 * Design and document end-to-end ML system architecture, from data ingestion and feature engineering to model serving and front-end consumption
 * Leverage AI tools and techniques to understand model input/output/performance and inform development cycles
 * Build and test prototypes quickly to enable rapid iteration and experimentation
 * Collaborate with engineering and product teams to ensure models are production-ready and integrated effectively
 * Provide technical leadership and review on architecture decisions across the ML lifecycle