Senior Data Scientist

Job Summary Aptive Resources is seeking a Senior Data Scientist with a degree in statistics, mathematics, computer science, or a related discipline and demonstrated experience applying machine learning technologies to healthcare data.

In this role you will do the analytic work behind VHA’s AI oversight decisions, building the methodology that assigns risk levels to AI systems across the enterprise, evaluating whether deployed AI is delivering the benefit it promised, and providing technical consultation to field teams building AI solutions for Veteran care.

This senior level, full-time position is remote. This is a contingent hire position. Primary Responsibilities Design and execute the AI risk stratification pilot, developing and evaluating a new methodology for assigning risk levels to AI systems across the VHA enterprise.

Design evaluation methodology for deployed AI systems, covering model performance, bias and fairness, construct validity, and post-deployment monitoring. Build and validate preregistered cost-benefit formulations that let VHA demonstrate concrete, measurable value from deployed AI systems.

Provide technical consultation to five field pilot partnerships on model selection, data readiness, cohort construction, and evaluation design. Conduct the quantitative assessment of pilot outcomes supporting the program evaluation deliverable.

Support AI oversight evaluations with analytic evidence, participating in working sessions with VHA governance entities at a cadence of at least one session every other month.

Contribute analytic content to AI risk management playbooks, assessment guides, and training materials for use case owners and oversight personnel. Assess a variety of AI/ML solution approaches such as supervised, unsupervised, and reinforcing learning against specific VHA use cases and constraints.

Develop and analyze data models and cohorts specific to the healthcare field, and advise on data quality, cohort definition, and synthetic data appro