Teams at Sprinter Health

Manage high-volume, full-cycle recruiting for clinical and operations roles: source, screen, interview, negotiate offers, coordinate onboarding, maintain ATS data (Lever), and build long-term candidate pipelines while ensuring compliance and hiring metrics.

Convert ambiguous healthcare and operational problems into well-scoped ML/AI, ranking, optimization, NLP, or LLM tasks; build and evaluate models, run error analysis, design honest evaluations, partner with engineering and clinical stakeholders, and productionize reliable models with clear communication of tradeoffs and limitations.

Own and build canonical data models and metric definitions using dbt and cloud warehouses. Create tests, documentation, lineage, and data quality checks; reconcile metrics across teams and payer customers; partner with analysts, data scientists, product, engineering, and finance; optimize warehouse performance, cost, and PHI-aware access patterns.