This job is closed
Applications are no longer available for this announcement. Explore current related opportunities below.
Job description
Pave is seeking a data scientist to build and optimize cashflow-driven credit risk models in the US fintech space. You will design, evaluate, and productionize models that demonstrate the impact of cashflow scores and attributes on approvals and defaults, collaborating with data engineers and stakeholders.
Applicants should have strong data science skills, experience with scikit-learn and XGBoost, and a deep understanding of US credit risk practices.
#J-18808-Ljbffr
Worksite address
los altos, CA, 94024, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.