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Lead and own end-to-end ML modeling for underwriting, fraud, and payments: build, validate, deploy, monitor models; create training datasets; run A/B tests; analyze customer trends; establish feature and model best practices; and mentor junior data scientists while collaborating with Engineering, Product, and Business teams.