Senior Partner Decision Scientist
Listed on 2026-02-16
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IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Science Manager
Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans and savings accounts and checking accounts – all for free.
Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.
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.
Whatyou'll do:
- 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
- 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
- Medical and Dental Coverage
- Retirement Plan
- Wellness perks
- Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
- Paid Gift Week in December
Credit Karma is proud to be an Equal Employment Opportunity Employer. We welcome all candidates without regard to race, color, religion, age, marital status, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity or gender expression, national origin, veteran or military status, disability (physical or mental), genetic information or other protected characteristic. We prohibit discrimination of any kind and operate in compliance with applicable fair chance laws.
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