Strategic Decision Scientist — Growth & Impact

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

Job summary

CVS Health is seeking a Principal Decision Scientist to lead causal inference studies and sizing analyses that underpin strategic recommendations. You will collaborate across Signify's business functions, standardize analytics practices, and present insights to executive leadership.

The role emphasizes data-driven problem solving, autonomy, and collaboration with data professionals to advance health outcomes and business growth.

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, modeling, automation, and visualization.
• Strong applied statistics and advanced analytics expertise, including hypothesis testing, regression, experimental design/A-B testing, predictive modeling, and related quantitative methods.
• 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.
• Strong business and executive communication skills, with the ability to translate ambiguous business problems into structured analytical approaches, actionable recommendations, and influence stakeholders in a matrixed environment.
• Experience with Snowflake and/or modern cloud data platforms such as AWS, Azure, or GCP.
• Working knowledge of data engineering and scalable analytical datasets, including ETL/ELT and relational or NoSQL databases.
• Experience establishing or improving analytics/Decision Science best practices and developing reusable analytical assets.
• Demonstrated executive presence and strong written communication, with the ability to clearly communicate complex analysis to senior and non-technical audiences.

Responsibilities

• (i) Clinical Evidence Generation & Member Insights: Extract knowledge and insights from data to investigate business problems using data preparation, modeling, analysis and visualization; design, build, and maintain causal inference studies; build and validate proofs of concepts to identify member insights.
• (ii) Analytic Support of Strategic and Growth Evaluations: Translate questions into analytical approaches; conduct sizings of new products and partnerships using internal data and public data where needed.
• (iii) Analytic Best Practices and Cross-Company Collaboration: Champion analytics standards, code reviews, pipelines documentation; mentor analytics talent; present analysis to Signify's ELT and leadership.

Skills

Decision Science

SQL

Python

Statistics

Causal Inference

Healthcare data

Executive communication

ETL/ELT

Databases

Best practices

Written communication

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

Snowflake

AWS

Azure

GCP

Job description

CVS Health is seeking a Principal Decision Scientist to lead causal inference studies and sizing analyses that underpin strategic recommendations. You will collaborate across Signify's business functions, standardize analytics practices, and present insights to executive leadership.

The role emphasizes data-driven problem solving, autonomy, and collaboration with data professionals to advance health outcomes and business growth.