Strategic Decision Scientist - Healthcare Analytics & Growth

CVS Health; Washington; Hybrid; USD 144,000 - 288,000; Full time

Job summary

CVS Health’s Signify Health Strategy & Innovation team is seeking a Principal Decision Scientist to lead causal inference studies and quantitative sizing for growth opportunities. You will collaborate across functions and present insights to executive leadership, shaping strategic recommendations.

Ideal candidates bring 10+ years in decision science or related fields, expert SQL and Python, and healthcare data expertise, with a proven ability to translate business problems into structured

Qualifications

• 10+ years of hands-on experience in Decision Science, Data Science, Advanced Analytics, or a related quantitative field.
• Expert SQL and strong Python skills, with experience analyzing large, complex datasets and applying statistical analysis.
• Strong applied statistics and advanced analytics expertise, including hypothesis testing, regression, experimental design/A-B testing, predictive modeling.
• Demonstrated experience with causal inference and impact measurement to evaluate programs, interventions, strategies, or business decisions.
• Healthcare/payer data expertise, including hands-on experience with claims, enrollment, utilization, laboratory, SDOH, or other member-level healthcare datasets.

Responsibilities

• Extract knowledge and insights from data to investigate complex business problems through data preparation, modeling, analysis and visualization techniques.
• Design, build, and maintain causal inference studies that quantify member-level clinical outcomes of the in-home health evaluation.
• Build and validate proof of concepts to identify rich member insights using health plan data and Signify's in-home insights.

Skills

SQL

Python

Statistics

Causal inference

Executive communication

Education

Bachelor's degree

Master's degree

Tools

Snowflake

AWS

Azure

GCP

ETL/ELT

NoSQL

Job description

CVS Health’s Signify Health Strategy & Innovation team is seeking a Principal Decision Scientist to lead causal inference studies and quantitative sizing for growth opportunities. You will collaborate across functions and present insights to executive leadership, shaping strategic recommendations.

Ideal candidates bring 10+ years in decision science or related fields, expert SQL and Python, and healthcare data expertise, with a proven ability to translate business problems into structured