Principal Decision Scientist - Commercial Product and Pricing Strategy

CVS Health

Remote

Quick summary

Work type: Remote
Location: New York, NY
Salary: $144,200–$288,400 / yr
Posted: 4 days ago
Closes: Jun 28, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $193k

This role $216k

$127k most similar roles pay here $306k

This role pays more than 63% of similar roles. Most pay $152,550–$234,250 — the shaded band above. At the midpoint, this role pays about $216k versus about $193k 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.

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View all roles at CVS Health

At a glance

TL;DR · Principal Decision Scientist - Commercial Product and Pricing Strategy

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The Principal Decision Scientist for Commercial Pricing and Product at A&BC is a senior-level role within the AI and analytics division, focusing on transforming data into actionable insights to drive growth and improve health outcomes. This leader acts as an internal consultant, product manager, and analytics expert, guiding underwriting transformation initiatives from concept through deployment. Day-to-day responsibilities include partnering with engineering teams to embed AI capabilities in tools, defining metrics for business success, and building scalable reporting frameworks. The role requires expertise in healthcare data, proficiency in AI and machine learning, familiarity with Google Cloud Platform tools like BigQuery and Vertex AI, and strong executive communication skills. This position is pivotal in bridging product strategy with advanced analytics to ensure insights are actionable and tied directly to financial outcomes.

Skills

Python SQL Google Cloud Platform BigQuery Vertex AI AWS R Tableau PowerBI Kubernetes Docker CI/CD Git Jupyter Notebook PostgreSQL Snowflake Apache Spark Hadoop Scikit-learn TensorFlow

What you'll do

Lead AI and data science strategy for underwriting transformation products.
Translate business needs into well-defined analytics initiatives as a product owner.
Guide data scientists on analytical approaches, balancing rigor and interpretability.
Define and report key metrics aligned with organizational and underwriting goals.
Facilitate cross-functional communication across Product, Engineering, Underwriting teams.

What we're looking for

At least 7 years of experience in Product Management, Analytics, or related roles.
Proven ability to lead analytics projects from concept to delivery across diverse stakeholders.
Expertise in AI, machine learning, and decision science applied to business problems.
Strong executive communication skills for translating complex insights into actionable narratives.
Familiarity with Google Cloud Platform tools like BigQuery and Vertex AI.
Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field required.

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