Principal Data Scientist, CVS Health

CVS Health

Location:
United States

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

144200.00 - 288400.00 USD / Year

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Job Description:

CVS Health's Analytics & Behavior Change (A&BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, machine learning, modeling, and a hypothesis-driven approaches to transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.

Job Responsibility:

Be a subject matter expertise in clinical data, specifically from EHRs and HIEs, and how to apply it to solve healthcare problems
Lead decision scientists, data engineers, and product owners to design and implement analytics solution
Foster a team cultural of analytical excellence by balancing the pursuit of business value with innovation and continuous improvement
Identify and translate emerging AI trends in healthcare to better address real world problems with an MVP-first mindset
Develop, validate, implement, and support decision support tools that investigate problem spaces, identify patterns, support decision-making processes, or anticipate outcomes
Build queries, dashboards, and data visualizations to effectively communicate analysis results and support decision making processes
Provide thought leadership in the development of the clinical data feature store, which aims to accelerate adoption of future use cases utilizing clinical data
Explore, validate, interpret, and summarize large amounts of data with various types/structures using advanced statistical and mathematical approaches
Develop end-to-end analytics solutions, from developing problem statements to deployments into production
Translate problem statements from business partners into conceptual solutions, analyze feasibility, and estimate work efforts for analytical use cases early in their lifecycle
Create documentation of project details, like problem statements, business outcomes, data exploration, dashboard/report details, and deployment/support instructions
Develop and participate in presentations and consultations to existing and prospective constituents on analytics opportunities, results, and solutions

Requirements:

10+ years of relevant experience
Experience solving analytics problems in the healthcare domain using clinical data
Experience with HL7 FHIR and Clinical Document Architecture specifications
Experience with OHDSI OMOP Common Data Model
Experience with clinical ontologies like SNOMED, LOINC, ICD-10, RxNorm, CPT-4, HCPCS, etc.
Experience leading analytics projects from concept to delivery by coordinating across a diverse set of stakeholders
Experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline

Nice to have:

Experience using Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, and Cloud Composer to implement scalable analytics solutions
Experience using natural language processing (NLP), large language models (LLMs), and Generative AI (Gen AI) to extract insights from text data
Ability to anticipate and prevent roadblocks throughout a project lifecycle and drive resolution/mitigation
Proven track record of implementing cutting-edge AI solutions in a deadline driven, value oriented environment
Strong written and verbal communication skills, including the ability to present complex ideas to various audiences
Master's or Doctorate degree preferred

What we offer:

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
No-cost wellness screenings
Tobacco cessation and weight management programs
Confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access

Additional Information:

Job Posted:
October 12, 2025

Expiration:
December 31, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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Principal Data Scientist