Intuit Inc

Lead Partner Decision Scientist - Credit Karma

Intuit Inc • $121K — $145K *
Charlotte, NC 28269In-Person
Finance & Insurance
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • MS in Statistics, Mathematics, Computer Science, Economics, Physics, or related quantitative field (or BS with equivalent experience)
  • 5+ years of experience in credit-risk analytics, data science, or risk management in banking or fintech
  • Hands-on expertise with credit data, including bureau attributes and risk scores
  • Expert in Python and SQL with experience in modern ML frameworks
  • Proven ability to communicate complex modeling concepts to non-technical stakeholders
  • Exceptional verbal and written communication skills
  • External partner-facing experience preferred.

Responsibilities

  • Serve as the technical bridge between Credit Karma and partner data science teams, ensuring data and modeling requirements are fulfilled.
  • Design, build, and optimize models to enhance conversion and approval certainty for partners and members.
  • Advance the partner modeling toolkit through feature engineering and modern ML methods.
  • Build relationships and coach partner teams on the capabilities of the Credit Karma platform.
  • Translate partner needs into platform capabilities through cross-functional collaboration.
  • Represent the Partner Decision Science team in meetings, advocating for both technical and business perspectives.
  • Identify high-impact opportunities across the partner portfolio and ensure successful implementation.

Benefits

  • Competitive compensation package with performance-based rewards
  • Eligibility for cash bonuses and equity rewards
  • Comprehensive benefits programs
  • Focus on fair pay through regular comparisons across demographics.
Full Job Description
Credit Karma is looking for a Senior AI Scientist to join our Partner Decision Science team - the group at the center of how the country's largest banks and fintech lenders build, target, and approve on the Credit Karma Lightbox platform. In this role, you will be the technical bridge between Credit Karma's decision-science platform and the data science and credit-risk teams at our partners, turning their objectives into production models that increase conversion and revenue while giving our members greater certainty that they'll be approved for the products they're matched with.

This is a highly cross-functional role. You will partner closely with internal business development, engineering, product, and data and analytics teams, as well as with external partner teams that range from hands-on analysts to senior leaders. Success depends as much on your ability to influence and translate across these audiences as it does on your technical depth - we are looking for a scientist who can go deep in the data and models, then clearly explain the 'so what' to a room of business and partner stakeholders.

You will pair strong machine learning skills with real business acumen, applying techniques that span credit-risk and targeting modeling, recommendation and ranking, experimentation, and - where it adds value - generative AI, all in service of the most relevant, best-timed financial recommendations for our members.

Responsibilities
  • Serve as the technical bridge between Credit Karma's decision-science platform and the data science and credit-risk teams at partner banks and fintech lenders, ensuring partner data and modeling requirements are met end to end.
  • Design, build, and optimize large-scale targeting and approval models that grow conversion and revenue for Credit Karma and its partners while improving approval certainty for members.
  • Advance the partner modeling toolkit - feature engineering on consumer credit and bureau data, modern ML methods, and emerging GenAI applications - to lift partner model performance and member relevance.
  • Build strong relationships with partner data science and risk teams, from individual contributors to managers and directors, and coach them on the capabilities of the Credit Karma platform.
  • Partner cross-functionally with internal business development, engineering, product, and data and analytics teams to translate partner needs into platform capabilities and move models into production.
  • Represent the Partner Decision Science team in cross-functional and partner-facing meetings, translating complex technical subject matter for executive and non-technical audiences and advocating for partners inside Credit Karma and for Credit Karma with partners.
  • Act like an owner: identify high-impact opportunities across the partner portfolio, propose solutions, and see them through to production and measurable results.


Qualifications
  • MS in Statistics, Mathematics, Computer Science, Economics, Physics, or a related quantitative discipline (or a BS with equivalent applied experience).
  • Approximately 5+ years in credit-risk analytics, data science, or risk management - at a bank, fintech, or credit bureau - with work spanning credit underwriting, model development, or customer valuation.
  • 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 comfort operating on large-scale data (e.g., BigQuery or a comparable warehouse).
  • Proven ability to explain complex modeling concepts to non-technical and executive stakeholders and to connect model performance to business outcomes.
  • Exceptional verbal and written communication skills, with the ability to convey complex ideas and influence senior audiences in their decision-making.
  • External partner-facing experience is a plus.

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

About Intuit Inc

Intuit offers business and financial management solutions for SMBs, financial institutions, consumers, and accounting professionals. The company’s product portfolio includes TurboTax, a software solution that offers free tax filing, efile taxes, and income tax returns; Quicken; QuickBooks; Mint.com, and more. It also offers end-to-end solutions for online tax preparation, download products, mobile tax prep, mortgage interest and property tax, corporations tax, military tax, and more. Intuit was founded by Tom Proulx and Scott Cook in 1983 and is based in Mountain View, California. The company serves customers in North America, Asia, Europe, and Australia with offices in the United States, Canada, India, U.K., and Singapore.

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Join the dynamic team at Intuit Inc, a global powerhouse in financial software, where innovation, leadership, and diversity training are at the heart of everything we do. This is an unparalleled opportunity to advance your career with a company that is committed to empowering communities and small businesses with innovative financial solutions.

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Invest in your future with Intuit’s industry-leading benefits and professional development opportunities. Our employees enjoy comprehensive benefits that ensure their personal and professional satisfaction, including health, wellness, and continuous learning perks. At Intuit, we also understand the importance of diversity training and leadership development, providing various programs that foster an inclusive environment.

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Learn more about Intuit Inc
Size
13,500 employees
Market Cap
$107.4 billion
Industry
Consumer Technology
Net Income
$1.7 billion
Founded
1983
5 Year Trend
+19.6%
Revenue
$7.7 billion
NASDAQ
INTU
* Ladders Estimates

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