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Lead Partner Decision Scientist - Credit Karma (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Partner Decision Scientist - Credit Karma (AI) (Credit Risk and Machine Learning): Designing and optimizing large-scale targeting and approval models for Credit Karma's Lightbox platform with an accent on credit-risk analytics, consumer credit data, and partner decision science. Focus on feature engineering, recommendation and ranking, experimentation, generative AI applications, and translating model performance into production business outcomes.
Location: Charlotte, North Carolina, United States
Company
is a financial technology platform whose products include TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Serve as the technical bridge between Credit Karma's decision-science platform and partner banks' and fintech lenders' data science and credit-risk teams.
- Design, build, and optimize large-scale targeting and approval models that improve conversion, revenue, and approval certainty.
- Advance the partner modeling toolkit through feature engineering on consumer credit and bureau data, modern machine learning, and generative AI applications.
- Build relationships with partner data science and risk teams and coach them on Credit Karma platform capabilities.
- Translate partner needs into platform capabilities with business development, engineering, product, and data and analytics teams, moving models into production.
- Explain complex technical concepts to executive and non-technical audiences and identify high-impact opportunities across the partner portfolio.
Requirements
- MS in Statistics, Mathematics, Computer Science, Economics, Physics, or a related quantitative discipline, or a BS with equivalent applied experience.
- Approximately 5+ years of experience in credit-risk analytics, data science, or risk management at a bank, fintech, or credit bureau.
- Experience with credit underwriting, model development, or customer valuation.
- Deep understanding of bureau attributes, risk scores, and alternative credit data sources.
- Expert proficiency in Python and SQL, modern machine learning frameworks, and large-scale data warehouses such as BigQuery.
- Ability to explain modeling concepts to non-technical and executive stakeholders and connect model performance to business outcomes.
Nice to have
- External partner-facing experience.
Culture & Benefits
- Cross-functional work with business development, engineering, product, data and analytics, and external partner teams.
- Compensation package with performance-based rewards.
- Potential eligibility for a cash bonus, equity rewards, and benefits according to applicable plans and programs.
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