Principal Strategy Data Scientist

CVS Health

West Virginia

Hybrid

USD 144,000 - 288,000

Full time

5 days ago
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Benefits offered by this job

Bonus program
Equity awards

Job summary

CVS Health, through its Signify Health Strategy & Innovation team, seeks a Principal Decision Scientist to lead causal inference studies that underpin strategic recommendations. You will design sizing analyses for growth opportunities and collaborate across functions to ensure rigorous analytics and reusable assets.

The role requires strong SQL/Python, healthcare data experience, and executive-level communication.

Qualifications

  • 10+ years in decision science or related quantitative field with ownership of complex analytical problems.
  • Expert SQL and Python skills with large, complex datasets.
  • Strong applied statistics, including hypothesis testing, regression, experimental design, and predictive modeling.
  • Experience with causal inference and impact measurement of programs or decisions.
  • Healthcare/payer data experience with claims, enrollment, utilization, or related datasets.
  • Executive communication to translate analyses into actionable recommendations for stakeholders.

Responsibilities

  • Lead deep statistical studies to prove outcomes and inform strategy.
  • Design, build, and validate causal inference studies for member outcomes.
  • Collaborate across Signify/ CVS teams to standardize data, code reviews, and analytics assets.
  • Present analysis to CVS/ELT and executive leadership, influencing strategic decisions.

Skills

SQL
Python
Causal inference
Healthcare data
Executive communication
Data science
Machine learning
Data visualization

Education

Bachelor's degree in quantitative field
Master's degree preferred

Tools

Snowflake
AWS
Azure
GCP

Job description

CVS Health, through its Signify Health Strategy & Innovation team, seeks a Principal Decision Scientist to lead causal inference studies that underpin strategic recommendations. You will design sizing analyses for growth opportunities and collaborate across functions to ensure rigorous analytics and reusable assets.

The role requires strong SQL/Python, healthcare data experience, and executive-level communication.

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