Lead Data Scientist

CVS Health

Closes in 3 days Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $118,450–$236,900 / yr
Posted: 2 days ago
Closes: Jul 1, 2026 (soon)

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $161k

This role $178k

$94k most similar roles pay here $252k

This role pays more than 68% of similar roles. Most pay $126,800–$195,542 — the shaded band above. At the midpoint, this role pays about $178k versus about $161k 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 407 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 133 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Lead Data Scientist

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Aetna's Medicare Stars Team is seeking a Lead Data Scientist to join their high-performing and collaborative environment, focusing on leveraging Snowflake’s data ecosystem to drive business analytics. This role involves designing unified data pipelines that integrate structured and unstructured data, building agentic document analytics workflows, and implementing natural language query interfaces powered by LLMs like OpenAI. The Lead Data Scientist will also create performant retrieval-augmented generation architectures, author transformations using Snowpark/Python/SQL, and ensure robust data governance patterns within Snowflake. Key skills include proficiency in statistical analysis, machine learning, and data visualization tools such as Python, SQL, and Tableau, along with experience in integrating LLMs for various analytical tasks. This role demands expertise in handling large-scale document ingestion and embedding, ensuring efficient retrieval pipelines, and partnering closely with product, ML/AI, BI, and engineering teams to deliver actionable insights that inform business strategies.

Skills

Snowflake Python SQL Snowpark OpenAI LLM JSON Parquet Vector Stores RAG Tableau Power BI D3.js Java C++ CI/CD

What you'll do

Design and implement unified data pipelines in Snowflake combining structured and semi-structured data.
Build large-scale document ingestion workflows including text extraction, cleaning, chunking, embeddings, and vector stores.
Implement Natural Language Query interfaces translating user prompts into analytic queries or retrieval flows.
Integrate Snowflake with LLMs for tasks like summarization, question-answering, classification, and code-generation.
Create performant retrieval-augmented generation architectures leveraging Snowflake-stored embeddings and external vector indexes.

What we're looking for

Proficient in statistical analysis and machine learning using Python.
Experience with Snowflake for data modeling and governance.
Ability to design unified data pipelines combining structured and unstructured data.
Expertise in integrating LLMs like OpenAI for document analytics.
Strong programming skills in Python, Java, or C++.
Excellent communication skills to explain complex findings clearly.
Bachelor's degree in Statistics, Mathematics, Computer Science, or Engineering.