Staff AI Scientist - Consumer Risk Fraud (Intuit)

Intuit Credit Karma is seeking an innovative Staff AI Scientist to join their Consumer Risk Data Science team. This role will focus on developing cutting-edge credit risk AI/ML fraud models to enable new money movement products. The team focuses on solving hard problems for customers, using data and AI to improve customer experience, and driving actionable lending decisions. The position offers a collaborative and inventive environment with opportunities for professional growth.

Requirements

• Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline
• 6+ years of experience in AI Science / Machine Learning and related areas
• Authoritative knowledge of Python and SQL
• Relevant work experience in fintech fraud risk, with deep understanding of money movement products, banking, lending, and fraud detection data
• Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing
• Deep understanding of fraud risk modeling concepts, including fraud score calibration, label bias correction, case disposition logic, and network or graph-based link analysis for identifying organized or collusive fraud patterns
• Ability to quickly develop a deep statistical understanding of large, complex datasets

Benefits

• Competitive compensation package
• Cash bonus
• Equity rewards
• Benefits