# Staff AI Scientist

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

Canonical page: https://career.thegoodapps.co/jobs/2421ba92-fda1-4fc4-a14c-064a2af71ef8

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

- Seniority: Staff
- Location: Atlanta, GA

## Summary

Intuit is hiring a Staff AI Scientist to build credit risk models for their Consumer Lending products, including tax refund advances and buy-now-pay-later offerings. This role suits experienced ML practitioners who want to own the full model lifecycle in fintech and work on high-impact lending decisions affecting hundreds of thousands of customers.

_Our summary, not Intuit's wording._

## Skills named

Amazon Web Services (AWS), Apache Airflow, AWS SageMaker, Deep Learning, LangChain, LangGraph, LLMs (Large Language Models), Natural Language Processing, Prompt Engineering, Python, PyTorch, Reinforcement Learning, Retrieval-Augmented Generation (RAG), SQL, TensorFlow, Time Series Analysis

## Required

- Advanced degree (Ph.D. or Master's) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics, or related quantitative field
- 4+ years of work experience in AI science or machine learning
- Expert-level proficiency in Python and SQL
- Work experience in fintech credit risk with understanding of payment systems, banking, and lending products
- Experience developing credit risk models using credit bureau, tax, and cash flow data
- Hands-on expertise building, deploying, and maintaining deep learning, tree-based, reinforcement learning, clustering, time series, causal analysis, and NLP models
- Deep understanding of credit risk concepts including PD calibration, reject inference, adverse action logic, and risk segmentation
- Ability to quickly develop statistical understanding of large complex datasets
- Expertise designing efficient, reusable data pipelines for machine learning
- Strong business problem-solving, communication, and collaboration skills
- Proven experience defining end-to-end modeling frameworks and methodologies across teams or domains
- Demonstrated ability to evaluate and integrate emerging AI/ML technologies

## Nice to have

- Proficiency in TensorFlow, PyTorch, or similar deep learning frameworks
- Experience with public cloud platforms (GCP or AWS) and workflow orchestration tools like Apache Airflow
- Strong background in MLOps infrastructure (Vertex AI or AWS SageMaker) including pipelines, automated retraining, monitoring, and version control
- Experience with experimentation design, A/B testing, and statistical analysis
- Knowledge of LLMs, AI agents, prompt engineering, RAG, and tool calling
- Familiarity with orchestration frameworks like LangChain or LangGraph and the Gen AI stack
- Experience building transaction categorization and cash flow modeling pipelines from bank data sources like Plaid, Nova Credit, MX, or Finicity

Apply on Intuit's site: https://jobs.intuit.com/job/atlanta/staff-ai-scientist/27595/98848829472