• Direct analytical initiatives, leveraging data, statistical modeling, and machine learning to drive process improvements and decision-making. • Work closely with cross-functional teams—including software engineers, data analysts, and product leaders—to implement business solutions. • Lead discussions, present findings, and make recommendations to colleagues and management. • Establish and oversee monitoring procedures, review results, and identify further optimization opportunities. • Collaborate with departments such as Underwriting, Claims, Marketing, and Advertising to understand processes and identify areas for improvement. • Provide analytical support and facilitate solution implementation through business or IT processes. • Research and integrate new data sources and infrastructure, developing documentation and standards for easy business access. • Create and optimize data repositories, reports, dashboards, and automated procedures to enhance efficiency and reduce costs. • Respond to ad hoc analytical requests and ensure data accuracy. • Leads a small team of data scientists (1–3), providing technical expertise and mentoring. • Oversees development and application of algorithms/models to key business metrics, with the goal of improving operations or answering business questions. • Identifies projects or initiatives within their area that could benefit from quantitative review. • Runs day-to-day execution, code/design reviews, and onboarding for new team members. • Collaborates with the Manager on staffing, performance feedback, and strategic priorities. • Other functions may be assigned.