Principal Decision Scientist, Strategy & Growth

CVS Health

Oregon (WI)

Hybrid

USD 144,000 - 288,000

Full time

6 days ago
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Benefits offered by this job

Bonus program
Equity awards
Comprehensive benefits

Job summary

CVS Health, through its Signify Health Strategy & Innovation team, seeks a Principal Decision Scientist to design and execute causal studies, size growth opportunities, and collaborate across functions to inform executive decisions.

Ideal candidates bring 10+ years in decision science, expert SQL and Python, and strong healthcare data expertise, with demonstrated ability to influence senior leaders.

Qualifications

  • 10+ years in decision science or related field with end-to-end analytics ownership.
  • Expert SQL and Python with large dataset experience.
  • Strong statistics, including hypothesis testing and predictive modeling.
  • Experience with causal inference and impact measurement.
  • Healthcare/payer data expertise.
  • Strong business communication and stakeholder influence.
  • Experience with Snowflake and cloud platforms.
  • Knowledge of ETL/ELT and data engineering.
  • Executive presence and written communication.

Responsibilities

  • Lead causal inference studies to quantify member outcomes.
  • Provide analytic support for strategic growth evaluations.
  • Collaborate across Signify and with data professionals to standardize processes.
  • Present analyses to ELT and executives.

Skills

SQL
Python
Statistical analysis
Causal inference
Executive communication
Healthcare data
Cloud platforms (AWS/Azure/GCP)
Snowflake
ETL/ELT

Education

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

Tools

Snowflake
AWS
Azure
GCP
NoSQL

Job description

CVS Health, through its Signify Health Strategy & Innovation team, seeks a Principal Decision Scientist to design and execute causal studies, size growth opportunities, and collaborate across functions to inform executive decisions.

Ideal candidates bring 10+ years in decision science, expert SQL and Python, and strong healthcare data expertise, with demonstrated ability to influence senior leaders.

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