# Senior Staff AI Scientist - Consumer Risk

Hiring organization: [Intuit](https://career.thegoodapps.co/organizations/intuit)

Canonical page: https://career.thegoodapps.co/jobs/62dfc156-e487-47f3-9d69-095a500dd637

Listed on Intuit's own careers site. Applications go to them directly.

- Seniority: Senior
- Location: Mountain View, CA
- Salary: 226000 – 306000 USD per year

## Summary

This role leads the design and deployment of credit and fraud risk models for Intuit's consumer lending and banking products, affecting hundreds of thousands of customers. It suits an experienced AI scientist comfortable moving between hands-on modeling work and team leadership, who can navigate regulatory requirements and partner with product and engineering to ship risk solutions at scale.

_Our summary, not Intuit's wording._

## Skills named

Apache Airflow, AWS SageMaker, Deep Learning, LangChain, LangGraph, Natural Language Processing, Python, PyTorch, Reinforcement Learning, SQL, TensorFlow

## Required

- Advanced degree in Computer Science, Data Science, AI, Mathematics, Statistics, Econometrics, Physics, or related quantitative discipline
- 8+ years building and delivering machine learning products
- Expertise in Python and SQL
- Experience in credit risk and/or fraud risk modeling with understanding of payment systems, lending, and banking
- Hands-on development and deployment of deep learning, tree-based, reinforcement learning, clustering, time series, and NLP models
- Experience with credit bureau, tax, cashflow, identity, and behavioral data
- Deep knowledge of credit risk concepts (PD calibration, reject inference, adverse action logic, risk segmentation) and fraud typologies
- Design of efficient data pipelines and ML frameworks
- Strong communication, collaboration, and people-leadership skills

## Nice to have

- Proficiency in TensorFlow or PyTorch
- Experience with GCP or AWS public cloud platforms
- Experience with Apache Airflow or workflow orchestration tools
- Strong MLOps infrastructure background with Vertex AI or SageMaker
- Real-time and streaming model deployment experience
- Feature stores for low-latency fraud decisioning
- Knowledge of LLMs, AI agents, and prompt engineering
- Experience with SR 11-7, FCRA, ECOA regulatory frameworks and fair lending review

Apply on Intuit's site: https://jobs.intuit.com/job/mountain-view/senior-staff-ai-scientist-consumer-risk/27595/100191155808