Principal Decision Scientist, Strategy & Innovation

This is a fully remote position, open to applicants in Alabama, +43 more states.

📋 Description

• Lead comprehensive statistical research to validate member outcomes.

• Provide quantitative assessments to inform decisions on emerging growth opportunities.

• Derive knowledge and insights from data through preparation, modeling, analysis, and visualization techniques.

• Design, construct, and sustain causal inference studies that evaluate member-level clinical outcomes.

• Develop and confirm proof-of-concepts utilizing health plan data and Signify's in-home insights.

• Transform vague business inquiries into structured analytical methodologies.

• Perform sizing analyses for new products and partnership opportunities.

• Advocate for analytics best practices, encompassing engineering standards, version control, code reviews, documented pipelines, and standardized data sources.

• Collaborate with analytic leaders and data professionals throughout Signify.

• Mentor analytics talent within the organization.

• Rigorously test methodologies and hypotheses across the active portfolio.

• Present analytical findings directly to Signify's Executive Leadership Team and other executives.

⛳️ Requirements

• Over 10 years of practical experience in Decision Science, Data Science, Advanced Analytics, or a closely related quantitative discipline.

• Proficient in SQL and have strong Python capabilities.

• Experience in analyzing extensive and intricate datasets.

• Familiarity with statistical analysis, modeling, automation, and visualization techniques.

• Strong expertise in applied statistics and advanced analytics, including hypothesis testing, regression, experimental design/A-B testing, predictive modeling, and other related quantitative methods.

• Proven experience with causal inference and impact assessment.

• Expertise in healthcare/payer data, including claims, enrollment, utilization, laboratory, SDOH, or other member-level healthcare datasets.

• Excellent business and executive communication skills.

• Experience with Snowflake and/or contemporary cloud data platforms such as AWS, Azure, or GCP.

• Working knowledge of data engineering and scalable analytical datasets, including ETL/ELT processes and relational or NoSQL databases.

• Experience in establishing or enhancing analytics/Decision Science best practices and developing reusable analytical resources.

• Demonstrated executive presence and strong written communication skills.

• A Bachelor's degree in a quantitative field is required.

• Familiarity with CMS risk adjustment and Stars quality methodologies.

• Experience in building, validating, or deploying machine learning models or proof-of-concepts.

• Experience utilizing machine learning and predictive modeling in conjunction with causal inference.

• Experience working with unstructured clinical and/or provider data.

• Experience applying decision science to complex problems in healthcare, payer, provider, or healthcare operations.

• Experience functioning in highly ambiguous environments and independently defining analytical strategies.

🏝️ Benefits

• CVS Health bonus, commission, or short-term incentive program.

• Equity award program.

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Paid time off.

• Retirement savings options.

• Wellness programs.

• Additional resources supporting physical, emotional, and financial well-being.