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The Staff Data Scientist will advance machine learning models to optimize claim audits and improve business outcomes in healthcare.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

The Lead Rust Software Engineer will design and build scalable applications, mentor teams on Rust, and contribute to complex product development.

Lead backend architecture and implementation for scalable, reliable cloud-hosted web products. Mentor engineers, set standards, integrate agentic AI coding tools, design systems applying ML to large datasets, and balance customer-facing features with technical debt and performance.

Own the Coordination of Benefits product line, overseeing its strategy, execution, and financial performance while collaborating with cross-functional teams to optimize outcomes.

Manage end-to-end procurement lifecycle, including sourcing (RFIs/RFPs), contract support, vendor management, purchase orders, and cost-savings. Ensure governance, compliance, security due diligence, audit-ready documentation, and cross-functional coordination with IT, Finance, Legal, and Information Security.

Lead the end-to-end accounts payable function, manage an AP team, oversee invoice processing, payments, vendor master data, reconciliations, month-end close, 1099 reporting, controls, audits, and drive process improvements and automation.

As a Claims Administrator, you will support claims processing, ensure data accuracy, handle incoming claim reviews, and facilitate claims routing, while collaborating with internal teams.

The Forward Deployed Engineer will work with customers to identify and solve problems, build solutions using an AI-powered platform, and advocate for product changes based on customer feedback and production outcomes.

As a Staff Data Scientist, you will lead initiatives to build and optimize machine learning models, collaborate across departments, and solve complex business problems using data.