Senior Director of Data Science & Forecasting (Underwriting)

CVS Health; Connecticut; Hybride; USD 144 000 - 288 000; Plein temps

Résumé du poste

CVS Health is seeking a Lead Director, Data Scientist for Forecasting Accuracy and Analytical Insights in Underwriting. You will lead a team of 10+ data scientists to drive analytics strategy and productionalize insights that support underwriting decisions.

You will work with Product, Engineering, Underwriting, Finance to embed analytics in workflows, build forecasting models, and deliver executive-ready reporting that improves P&L accuracy.

Qualifications

• 12+ years of experience in analytics, decision science, BI, or data validation.
• 5+ years of experience leading large analytical teams and developing people leaders.
• Advanced SQL and data analysis skills.
• Experience developing self-service reporting solutions and dashboards.
• Proven experience validating business outcomes and financial results using large-scale datasets.
• Exceptional communication and stakeholder management, and executive presentation skills.

Responsabilités

• Lead the data science and analytics strategy for underwriting transformation software products.
• Design predictive, and scenario-based analytical capabilities supporting underwriting, pricing, and risk decisions.
• Time-series, regression, tree-based modeling and forecasting for volume, financial, and risk projections.
• Apply machine learning and statistical modeling to improve underwriting accuracy and efficiency.
• Partner 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.

Connaissances

Analytical leadership

Stakeholder communication

SQL & data analysis

Self-service reporting

Team development

Outils

Databricks

SQL

Tableau

Power BI

Python

Description du poste

CVS Health is seeking a Lead Director, Data Scientist for Forecasting Accuracy and Analytical Insights in Underwriting. You will lead a team of 10+ data scientists to drive analytics strategy and productionalize insights that support underwriting decisions.

You will work with Product, Engineering, Underwriting, Finance to embed analytics in workflows, build forecasting models, and deliver executive-ready reporting that improves P&L accuracy.