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Principal, Analytics and Data Science – Pricing Forecasting
CVS HealthPrincipal position leading data science and analytics within CVS Health's underwriting transformation program for pricing forecasting and financial decision-making. Collaborating across teams to drive actionable insights based on advanced analytics.
Posted 5/3/2026full-timeRemote • Illinois, New York, Texas • 🇺🇸 United StatesLead💰 $144,200 - $288,400 per yearWebsite
Tech Stack
Tools & technologiesPythonSparkSQL
About the role
Key responsibilities & impact- Lead the data science and analytics strategy for underwriting transformation software products, from problem framing through production deployment.
- Design and operationalize causal, predictive, and scenario‑based analytical capabilities supporting underwriting, pricing, and risk decisions.
- Partner closely with Product Management and Engineering to embed analytics and reporting into core product workflows.
- Define, track, and report product, operational, and business metrics and OKRs aligned to organizational and underwriting transformation goals.
- Establish scalable reporting frameworks and dashboards that provide transparency into product performance, financial impact, and delivery outcomes.
- Deliver executive‑ready insights that clearly articulate progress, risks, and tradeoffs.
- Provide technical leadership in causal inference and counterfactual analysis to assess underwriting and pricing changes.
- Facilitate continuous, cross‑functional communication across Product, Engineering, Underwriting, Finance, Actuarial, and Executive teams.
Requirements
What you’ll need- 5+ years of experience in providing analytical leadership and expertise to forecasting and financial software products
- Deep expertise in causal inference , including causal modeling frameworks and bias‑adjustment techniques
- Experience building counterfactual and “what‑if” scenario analysis systems at scale
- Strong background in time‑series forecasting and predictive modeling using modern statistical and machine learning approaches
- Proven ability to design and operationalize end‑to‑end analytics or ML pipelines .
- 5+ years of strong Python skills and working knowledge of SQL and distributed data platforms (e.g., Spark)
- 5+ years of demonstrated success translating ambiguous business and product questions into measurable analytical solutions
- 5+ years of experience partnering with product, engineering, and business leaders to influence strategy and outcomes
- Track record of delivering analytics and reporting capabilities adopted by business and executive stakeholders
- Strong executive communication and storytelling skills.
- 5+ years of experience mentoring and leading senior data science and analytics professionals.
- People management experience is a plus.
Benefits
Comp & perks- medical, dental, and vision coverage
- paid time off
- retirement savings options
- wellness programs
- other resources, based on eligibility
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
causal inferencepredictive modelingtime-series forecastinganalytics pipelinesPythonSQLSparkcounterfactual analysisbias-adjustment techniquesanalytical leadership
Soft Skills
executive communicationstorytellingcross-functional communicationmentoringleadershipinfluencing strategyproblem framingtranslating business questionscollaborationreporting capabilities