Top Data & Analytics Jobs in Wilmington, NC

Senior Machine Learning Modeler role at Cash App's Financial Crimes Technology team. Responsibilities include building classification models, leveraging diverse data sets, deploying AI solutions, and collaborating with stakeholders. Requires 4+ years of ML modeling experience and a Bachelor's degree in a related field.

Drive policy governance program, create policies, synchronize with regulations, manage policy inventory, assist with reporting, identify efficiency gains, and build relationships with compliance partners. Extract insights from projects and present findings. Collaborate with stakeholders and business leads to achieve goals.

Partner with the Cash App Health org to derive insights from datasets, analyze customer behavior, design A/B experiments, forecast metrics, and build data visualizations. Collaborate with cross-functional teams to drive meaningful change and protect customers' interests.

Utilize statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements for business objectives and client needs. Research, develop new analytical approaches, test new statistical analysis methods, and present results clearly. Collaborate with team members to develop technical/business approaches and tools.

The job involves translating business requirements into technical use cases and data flows, assisting in the architecture and planning of projects, and serving as a technical subject matter expert for data-driven marketing tactics. Requires experience in ad technology or marketing with strong analytical and communication skills.

Responsible for developing innovative and practical Generative AI applications for Tempus product line. Collaborate cross-functionally with other teams to understand needs and requirements. Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Design and implement generative AI models tailored for healthcare scenarios. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.