• Lead advanced analytics initiatives: Design experiments, develop statistical and machine learning models, and leverage AI to uncover trends, anomalies, and drivers of performance. • Take ambiguous business challenges and structure them into data-driven solutions. • Transform insights into action: Create clear narratives and recommendations supported by hypothesis testing and statistical analysis. • Communicate effectively: Present methodologies, insights, and recommendations to technical and non-technical audiences through compelling visualizations and storytelling. • Collaborate cross-functionally: Partner with data engineers, analysts, and business stakeholders to deliver end-to-end analytics solutions, dashboards, and reports using SQL, Python, R, and other tools. • Innovate and mentor: Contribute to the growth of Allstate’s Data Science practice by researching new tools, sharing best practices, and mentoring team members.