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AI Scientist 2 - Credit Karma

Intuit

Intuit

Software Engineering, Data Science
Charlotte, NC, USA
Posted on Apr 2, 2026

AI Scientist 2 - Credit Karma

Category Data Location Charlotte, North Carolina Job ID 20408
Apply Now

Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Credit Karma’s fast growing Partner Decision Science team is seeking an experienced Data Scientist or Data Analyst with Credit Risk Modeling support background. This role will allow a motivated individual to be an early member of a growing team who will work closely with our bank and Fintech partners to build and optimize targeting models on the Credit Karma platform. By doing this they will drive significant revenue for Credit Karma and its partners, while providing approval certainty for consumers. This is one of the most significant strategic initiatives at Credit Karma that will change the trajectory of the company and its industry.


Responsibilities

  • Be the critical bridge between banking / fintech partners and the Credit Karma data science platform. Help some of the biggest financial institutions in the country work with the CK modeling platform and meet all data requirements for banking / fintech partners
  • Work hand-in-hand both with the internal data science teams, as well as partner risk science teams to integrate and build decision science models on the CK platform
  • Build strong relations with data science teams at financial institutions, ranging from VP-level executives all the way to hands-on data scientists
  • Thoroughly understand the capabilities of the Credit Karma machine learning platform, and help drive requirements and directly enhance Karma s capabilities
  • Optimize and guide the partner model building and analytics process, in order to achieve optimal results. Coach partner risk teams on machine learning capabilities provided by the CK platform, providing advocacy for partners within Credit Karma and vice versa

Qualifications

  • Thoroughly understand the capabilities of the Credit Karma machine learning platform, and help drive requirements and directly enhance Karma s capabilities
  • Optimize and guide the partner model building and analytics process, in order to achieve optimal results. Coach partner risk teams on machine learning capabilities provided by the CK platform, providing advocacy for partners within Credit Karma and vice versa

Minimum Basic Requirements:

  • Degree (Bachelors or Masters) in Statistics, Math, Data Analytics or a relevant quantitative discipline
  • Approximately 5 years of experience in statistical analysis, modeling, or data analysis, preferably related to one or more of: credit and underwriting, customer segmentation and marketing analytics, or customer valuations
  • Minimum of 3 plus years of experience building, implementing, or utilizing complex models in a financial risk / data science environment
  • Experience with consumer credit data

Preferred Qualifications:

  • Strong knowledge of Python, SQL, or similar industry standard tools used for large-scale data analysis and modeling.
  • Experience and/or interest in machine learning techniques
  • Experience interfacing with teams at Financial institutions

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 Intuit®: Careers | Benefits). 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. The expected base pay range for this position is:

Apply Now
See more open positions at Intuit
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