Sr. Data Scientist | Modeling

Role overview Build and improve machine learning models that help health plans select claims for clinical and coding audits. The role combines hands-on modeling with work on data pipelines and team tools, with a focus on making model results useful in real audit and recovery workflows.

Responsibilities - Investigate audit data and past outcomes to understand which claims warrant review. - Prepare labeled datasets, develop useful features, and build models to prioritize claims. - Evaluate model performance and turn findings into operational recommendations. - Improve complex, sometimes inconsistent data pipelines so they support dependable modeling. - Strengthen modeling infrastructure and shared tools to help the team work at greater scale. - Work with clients and internal specialists to align model insights with business needs.

Requirements - Experience solving business problems with machine learning and data-driven optimization. - Ability to measure model performance in terms of business impact. - Strong SQL skills and experience working with large-scale data. - Proficiency in a programming language such as Python or R. - Experience building supervised models, including choosing labels, optimization metrics, and features; familiarity with neural networks or tree-based ensembles is relevant.

Benefits and work setup - Remote work from anywhere in the United States. - Medical, dental, vision, FSA/HSA, a 401(k) match, tuition reimbursement, and wellness benefits. - Flexible paid time off and a flexible, trust-oriented work environment. - Salary is described as level- and experience-dependent, with a stated base range of $180,000–$230,000+ and equity.