Senior Data Scientist - ML/AI Digital Workplace Experience

CVS Health

Closes in 3 days Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$92,700–$203,940 / yr
Posted
4 days ago
Closes
Jun 9, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $194k
This role $148k
$76k most similar roles pay here $245k

This role pays less than 78% of similar roles. Most pay $161,500–$227,337 — the shaded band above. At the midpoint, this role pays about $148k versus about $194k 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 156 open roles on FindRole.

Listed pay typically runs $118,450–$260,590 across 152 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Data Scientist - ML/AI Digital Workplace Experience

As a Senior Data Scientist in the ML Digital Experience & Digital Workplace team, you will lead the development and deployment of advanced machine learning models and Generative AI solutions to enhance digital workplace experiences. Your day-to-day responsibilities include designing production-grade ML pipelines with MLOps best practices, deploying GenAI systems using LLMs and RAG architectures, analyzing large datasets for actionable insights, and collaborating across functions to deliver high-impact AI/ML use cases such as predictive analytics and workflow automation. You will need advanced proficiency in Python, ML frameworks like scikit-learn, TensorFlow, PyTorch, Hugging Face, and SQL, along with experience in cloud platforms (Azure, AWS, GCP) and MLOps practices. This role involves working on complex business challenges at scale within an enterprise setting, requiring a strong foundation in statistics and the ability to communicate technical concepts effectively.

What you'll do

  • Design and deploy production-grade machine learning models with end-to-end pipelines.
  • Lead the development of Generative AI solutions using LLMs, RAG, and prompt engineering.
  • Analyze large-scale datasets to uncover actionable patterns and measure ML/AI impact.
  • Deliver high-impact AI/ML use cases for predictive analytics and workflow automation.
  • Mentor team members and contribute to responsible AI governance frameworks.

What we're looking for

  • 5+ years of experience delivering production-level ML/AI solutions.
  • Expertise in Generative AI, LLMs, RAG architectures, and prompt engineering.
  • Proficiency in Python, ML frameworks (scikit-learn, TensorFlow, PyTorch), NLP techniques, SQL, and large-scale data platforms.
  • Hands-on experience with MLOps practices and cloud platforms for AI/ML services.
  • Strong foundation in statistics, probability, and experimental design.
  • Excellent storytelling and communication skills to convey technical concepts.

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