Data Scientist

• Leverage technical expertise and industry experience to influence the application, scalability, and enablement of AI/ML across USAA’s enterprise.
• Identify novel opportunities for advanced analytics solutions and effectively communicate with business leaders, product teams, and other key stakeholders.
• Drive intelligent automation and personalization through next best action recommendations and predictive servicing strategies.
• Provide strategic guidance to executive leadership by seeking, vetting, proposing, and enabling “best in class” tools and technologies.
• Collaborate with IT Architecture and leadership to ensure data and analytics tools align with USAA’s strategic vision and operational priorities.
• Identify, research, and define large-scale, cross-functional AI/ML use cases in collaboration with business leaders, executive peers, and strategic partners.
• Design, implement, monitor, and scale cutting-edge AI/ML solutions that translate prototypes into novel products, services, and features.
• Ensure that AI/ML solutions are built using industry best practices and sound methodology.
• Work with model risk partners to promote a culture of regulatory compliance.
• Design large, complex information assets that enable applied analytics.
• Seek opportunities to simplify, modernize, and standardize the model development lifecycle.
• Provide expert technical advice and guidance by vetting vendor acquisitions.
• Actively raise the bar on talent and recruitment by leading or participating in communities of practice, talent development initiatives, and technical interview panels.
• Clearly translate complex analytical and technical concepts to diverse, technical, and non-technical audiences in a way that promotes organizational data literacy and informs business priorities.
• Develop and maintain academic and industry relationships for research purposes.
• Represent USAA in key internal/external technology and advanced analytics conferences.
• Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

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