Senior AI Data Scientist - GenAI & Cloud Solutions

CVS Health; Austin (TX); On-site; USD 93,000 - 204,000; Full time

Benefits offered by this job

Bonus eligibility

Job summary

CVS Health is seeking an experienced AI/Analytics professional to drive automation and decision-support initiatives. You will work with AI engineers, product managers, and business stakeholders to design, build, and deploy AI-powered solutions that improve operations and outcomes.

The role emphasizes data-driven analysis, predictive modeling, and scalable cloud-based deployments, with a strong focus on cross-functional collaboration and delivering tangible business value.

Qualifications

• 3+ years of relevant AI and/or analytics experience
• 3+ years’ experience programming in Python
• 3+ years’ experience programming in SQL
• 3+ years’ experience working with Cloud technology
• Experience developing AI/ML-driven products or decision-support tools
• Experience developing, implementing and supporting enterprise technology solutions

Responsibilities

• Leverages AI techniques to develop agents or tools for automation in operations
• Executes AI projects from conception to completion with timelines and quality standards
• Collaborates with engineers, product managers and stakeholders to implement AI solutions
• Analyzes data to address complex business problems using statistical methods
• Develops predictive models and performance metrics for business goals

Skills

Python

SQL

Cloud platforms

AI/ML development

Analytics

Education

Bachelor's degree in CS/Math/Stats/BA/Engineering

Master's degree or PhD

Tools

Generative AI

LLMs

AI deployment tools

Job description

CVS Health is seeking an experienced AI/Analytics professional to drive automation and decision-support initiatives. You will work with AI engineers, product managers, and business stakeholders to design, build, and deploy AI-powered solutions that improve operations and outcomes.

The role emphasizes data-driven analysis, predictive modeling, and scalable cloud-based deployments, with a strong focus on cross-functional collaboration and delivering tangible business value.