Data Scientist

Department

Technology

Location

Remote

FLSA Status

Exempt

People Leader

No

Travel

Less than 10%

Summary

Company Summary

Accuity partners with hospitals and health systems through a technology-enabled, physician-led model that improves clinical documentation integrity, coding accuracy, reimbursement optimization, and quality outcomes.

Job Summary

The Data Scientist develops, evaluates, and monitors the predictive and generative AI systems that drive automation across Accuity’s clinical documentation and revenue cycle workflows. Reporting to the Vice President, Data Science and AI, this role combines classical machine learning with applied work on large language model and agent-based systems, and is accountable for establishing whether those systems are measurably good enough to be trusted inside a clinical workflow.

Evaluation is the spine of the role. The Data Scientist builds and maintains the ground truth datasets, evaluation frameworks, and metrics that determine production readiness, designs samples so results are comparable and defensible, and analyzes performance by clinical and payer segment rather than in aggregate. This includes independently reproducing and pressure-testing results reported by external AI development partners rather than accepting them as delivered.

This role owns methodology, evaluation, and model development. Production deployment, serving infrastructure, and the engineering of AI systems into live workflows are owned by AI Engineering, and the Data Scientist partners closely with that function to move validated work into production.

Responsibilities

Model Development and Applied AI

• Develop, train, and improve predictive and machine learning models supporting chart triage, prioritization, documentation integrity, and revenue cycle outcomes.
• Maintain and improve models already running in production, including retraining cadence, feature review, threshold tuning,