BigBear.ai seeks a Data Scientist to design and build v1 rule-weighted scoring logic that converts normalized risk signals into a transparent score. You will shape the roadmap for interpretable ML-based scoring and ensure auditability for adjudicator workflows.
The role emphasizes explainability, traceability, and collaboration with data engineers to productionize scoring logic and validation approaches.
#J-18808-LjbffrRemote Data Scientist for Interpretable Scoring in workfromhome at Unknown Company
This position is listed as full time and onsite.