Senior Fraud AI Scientist — Consumer Risk & Impact

Intuit; Mountain View (CA); Presencial; USD 180 000 - 244 000; Tempo integral

Resumo da oferta

Intuit in Mountain View is seeking a Senior Risk AI Scientist to design and deploy ML models that mitigate credit and fraud risk across consumer money products.

You will collaborate with Risk Policy, Operations, Product, and Engineering to translate business problems into data-driven solutions, own end-to-end model lifecycle, and deliver production-ready risk strategies with measurable impact.

Qualificações

• Advanced degree (MS or higher) in a quantitative field.
• 3+ years of Data Science / ML experience.
• Expertise in ML techniques: deep learning, tree-based models, NLP, time series, clustering, causal analysis.
• Proficiency with TensorFlow, PyTorch.
• Strong ability to understand large datasets and build reusable data pipelines.

Responsabilidades

• Design, build, evaluate, monitor, maintain, and defend ML models for credit/fraud risk.
• Collaborate with product, policy, engineering to translate business problems into modeling solutions.
• Lead fraud risk modeling across products, owning model lifecycle and outcomes.
• Contribute to tech strategy and risk roadmap across cross-functional teams.
• Develop scalable ML and data infrastructure to improve speed and reliability of fraud modeling.
• Advance unified data strategy for risk and fraud use cases.
• Research and apply innovative ML and statistical approaches for real-world fraud challenges.

Conhecimentos

Python

SQL

ML/DL

Model Deployment

Communication

Teamwork

Formação académica

MS/PhD in CS/DS/Math

Ferramentas

TensorFlow

PyTorch

Descrição da oferta de emprego

Intuit in Mountain View is seeking a Senior Risk AI Scientist to design and deploy ML models that mitigate credit and fraud risk across consumer money products.

You will collaborate with Risk Policy, Operations, Product, and Engineering to translate business problems into data-driven solutions, own end-to-end model lifecycle, and deliver production-ready risk strategies with measurable impact.