We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
The Signify Health Strategy & Innovation team is responsible for shaping the company’s long-term strategy, discovering opportunities to accelerate growth, and identifying and testing net new offerings or capabilities. The team serves in an advisory capacity to Signify’s Executive Leadership Team (ELT) - partnering closely with leaders to evaluate challenges and opportunities, facilitate decision-making, and execute early-stage proofs of concept.
The Principal Decision Scientist is the team's first dedicated quantitative hire to bring additional rigor to strategy as an individual contributor who designs and builds the causal inference studies and sizing analyses that underpin Signify's highest-visibility strategic recommendations.
Work falls into two buckets: (i) leading deep statistical studies to prove member outcomes and (ii) providing quantitative sizing to guide decisions on new growth opportunities. The individual will also (iii) be responsible to collaborate across Signify’s business functions, including with other data professionals to standardize and improve technical fundamentals, documentation, code reviews, data models, and quality controls.
Ideal candidates are data-driven, inquisitive, autonomous, and entrepreneurial thinkers who can collaborate effectively across functions and with executive leadership.
Position Responsibilities(i) Clinical Evidence Generation & Member Insights
Extract knowledge and insights from data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting
Design, build, and maintain causal inference studies that quantify the member-level clinical outcomes of the in-home health evaluation, supporting workflow and service enhancements
Build and validate proof of concepts to identify rich, incremental member insights, leveraging health plan data combined with Signify's in-home insights. Potential approaches include statistical analysis, machine learning, and other applied methods
(ii) Analytic Support of Strategic and Growth Evaluations
Translate ambiguous, open-ended business questions into structured analytical approaches, partnering with strategy and business function leaders
Conduct new product and partnership opportunity sizings by analyzing Signify's internal operational and clinical data, supplemented by publicly available data where needed
(iii) Analytic Best Practices and Cross-Company Collaboration
Champion analytics best practices, e.g. engineering standards, version control, code review, documented pipelines, common data sources, with other analytic leaders within Signify to improve quality, repeatability, and ability to build off each other's work
Act as a technical thought partner and mentor to analytics talent across the organization
Bring a creative, structured approach to pressure-testing methodology and hypotheses across the full active portfolio, not only assigned workstreams
Present analysis directly to Signify's ELT and executive leadership, as workstream lead or in support of a strategy lead, building credibility and influence at the executive level
10+ years of hands-on experience in Decision Science, Data Science, Advanced Analytics, or a related quantitative field, with ownership of complex analytical problems from problem definition through actionable recommendations.
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.
Preferred Qualifications
Familiarity with CMS risk adjustment and Stars quality methodologies.
Experience building, validating, or deploying machine learning models or proof-of-concepts, including predictive risk models, member insight/segmentation models, or other decision-support applications.
Experience using machine learning and predictive modeling in combination with causal inference and other analytical methods to inform business decisions.
Experience working with unstructured clinical and/or provider data.
Experience applying decision science to complex healthcare, payer, provider, or healthcare operations problems.
Experience operating in highly ambiguous environments and independently defining the analytical strategy for novel or poorly defined business problems.
Education
Bachelor's degree in a quantitative field required (statistics, economics, applied mathematics, data science, computer science, or related)
Master's degree in a quantitative field strongly preferred
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 10+ years of hands-on experience in Decision Science, Data Science, Advanced Analytics, or a related quantitative field
- Expert SQL and strong Python skills
- Experience analyzing large, complex datasets using statistical analysis, modeling, automation, and visualization
- Strong applied statistics and advanced analytics expertise, including hypothesis testing, regression, experimental design or A/B testing, and predictive modeling
- Demonstrated experience with causal inference and impact measurement
- Healthcare or payer data expertise, including claims, enrollment, utilization, laboratory, SDOH, or other member-level healthcare datasets
- Strong business and executive communication skills
- 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 or Decision Science best practices and developing reusable analytical assets
- Executive presence and strong written communication skills
- Familiarity with CMS risk adjustment and Stars quality methodologies
- Experience building, validating, or deploying machine learning models or proof-of-concepts
- Experience combining machine learning and predictive modeling with causal inference
- Experience with unstructured clinical or provider data
- Experience applying decision science to healthcare, payer, provider, or healthcare operations problems
- Experience operating in highly ambiguous environments and independently defining analytical strategies
- Bachelor's degree in a quantitative field such as statistics, economics, applied mathematics, data science, or computer science
- Master's degree in a quantitative field
CVS Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CVS Health and has not been reviewed or approved by CVS Health.
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Healthcare Strength — Health coverage includes medical, dental, and vision with HSA-eligible options, free preventive care, virtual care, and access to MinuteClinic services. Mental-health resources such as counseling support are emphasized, and coverage is often considered solid for full-time colleagues.
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Retirement Support — A dollar-for-dollar 401(k) match up to 5% after one year and an Employee Stock Purchase Plan are consistently highlighted in Total Rewards materials. Feedback suggests retirement programs are a meaningful strength within the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings include up to 20 no-cost counseling sessions per issue, backup care, tuition assistance, and substantial in-store discounts, alongside broader wellness tools. These everyday perks expand value beyond base pay and can be especially meaningful for full-time schedules.
CVS Health Insights
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
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