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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Staff Data Scientist, ML (Credit Risk)”. A match may be a passing mention rather than the job itself. Titles only.
11 roles across 13 listings · show every listing
…Staff Data Scientist, you will build credit risk models that allow us to better serve our customers and make responsible lending decisions. Credit models…
…ABOUT THE JOB We are seeking an AI Research Scientist to serve as a founding ML expert on our team. In this role, you…
…As a Staff Engineer, you will own the technical roadmap for our ML platform. You will build the robust infrastructure, MLOps tooling, and systems…
…across Product Engineering, AI Platform, and Data & ML Platform teams. WHAT YOU’LL BE DOING As a Staff Applied AI Engineer you will: - Build…
…Your audience ranges from a CRO at a top-5 bank to a Congressional staffer to a Socure ML engineer, and you'll adjust…
…We’re looking for a Product Data Scientist to help build, measure, and improve credit products that serve customers traditional credit systems often miss…
…and neutralize risks before they impact our customers. Join an elite team of full-stack engineers, visionary data scientists, and pioneering ML engineers. We…
…Partner with technical leaders, product managers, operations, data scientists, and Trust defense & ML teams to define and drive platform capabilities, tackle evolving fraud threats…
…As a Staff Data Scientist for RiskOS, you will sit at the intersection of platform data science, fraud and risk analytics, and Generative AI…
…risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data…
…Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize…