Senior AI Scientist, Partner Decision Science

Intuit

Confirmed live yesterday High trust

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Work type
On-site
Location
Charlotte, NC
Posted
56 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $204k
$152k most similar roles pay here $257k

This listing doesn't post a salary. Most similar roles pay $162,000–$246,750.

Based on 240 similar postings.

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About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 174 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 152 roles with salary data.

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At a glance

TL;DR · Senior AI Scientist, Partner Decision Science

Senior AI Scientist — Credit Karma (Partner Decision Science) joins the Partner Decision Science team to serve as a technical bridge between the internal decision-science platform and external data science and credit-risk teams at partner banks and fintech lenders. This role involves designing, building, and optimizing large-scale targeting and approval models to increase conversion and revenue while improving member certainty. The scientist will advance the modeling toolkit through feature engineering on consumer credit and bureau data, modern machine learning methods, and generative AI applications. Key responsibilities include translating complex technical concepts for non-technical stakeholders and moving models into production. Required skills include expert proficiency in Python and SQL, experience with BigQuery or similar warehouses, and deep knowledge of credit risk analytics, underwriting, and risk scores to solve problems related to financial recommendations and partner integration.

What you'll do

  • Serve as the technical bridge between Credit Karma's platform and partner data science and credit-risk teams.
  • Design, build, and optimize large-scale targeting and approval models to increase conversion and revenue.
  • Advance the modeling toolkit using feature engineering on credit data, modern ML methods, and generative AI applications.
  • Build relationships with external partner teams and coach them on platform capabilities.
  • Translate partner requirements into technical specifications for internal product and engineering teams.
  • Communicate complex technical concepts to non-technical stakeholders and executive audiences.
  • Identify high-impact opportunities across the partner portfolio and drive them through to production.

What we're looking for

  • MS in Statistics, Mathematics, Computer Science, Economics, Physics, or a related quantitative discipline (or a BS with equivalent experience).
  • At least 5 years of experience in credit-risk analytics, data science, or risk management at a bank, fintech, or credit bureau.
  • Deep hands-on understanding of credit data, including bureau attributes, risk scores, and alternative data sources.
  • Expert proficiency in Python and SQL with experience in modern ML frameworks and large-scale data warehouses like BigQuery.
  • Proven ability to explain complex modeling concepts and connect model performance to business outcomes for non-technical stakeholders.
  • Exceptional verbal and written communication skills to influence senior audiences and decision-making.
  • Experience in credit underwriting, model development, or customer valuation is required.
  • Experience in external partner-facing roles is preferred.

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