Senior Data Scientist - Machine Learning

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist - Machine Learning based in United States.

This is a senior individual contributor opportunity to establish and lead the machine learning practice within a mature healthcare fraud, waste, and abuse analytics program.
You’ll work with a multi-billion-record claims warehouse combining data from numerous public and private healthcare payers.
The role offers unusual ownership, with responsibility for designing models as well as defining how they are validated, deployed, monitored, and maintained in production.
You’ll solve challenging machine learning problems involving delayed and incomplete labels, severe class imbalance, temporal shifts, and evolving fraud patterns.
Your work will directly support investigators by turning model predictions into ranked, explainable findings backed by claim-level evidence.
You’ll collaborate closely with healthcare fraud experts, data engineers, BI professionals, and external stakeholders to ensure models are accurate, practical, and actionable.
This role is ideal for a hands-on machine learning expert who wants to shape both technical practice and real-world outcomes at significant scale.