Senior AI Scientist- Credit Karma

Intuit
Oakland

About the job

Credit Karma is looking for a Senior AI Scientist to lead the evolution of our financial recommendation engines. In this role, you will be the technical architect behind how we understand, predict, and act on member intent. You will move beyond simple click-prediction to build a holistic map of the member’s financial journey, ensuring that every recommendation—from credit cards to home loans—is perfectly timed and deeply personalized. As such, this role is highly cross-functional and requires tight partnerships with a wide range of functions - including engineering, product, marketing, finance and analytics. We are seeking a Senior AI Scientist to drive innovation in the development and application of data science techniques that power the most relevant financial products including and actionable recommendations at Intuit Credit Karma. This role is ideal for someone who combines strong machine learning skills with business acumen and cross-functional collaboration.

Responsibilities

Lead the development of large-scale models that predict not just what a member needs, but when they need it across multiple financial verticals

Build recommendation logic that balances immediate revenue with long-term member trust and lifetime value

Collaborate closely with partner teams to define metrics that quantify various aspects of our business, including but not limited to revenue, engagement, user experience, etc.

Represent Data Science in cross functional meetings and reviews. Be able to translate difficult technical subject matter to business partners

Qualifications

Minimum

MS in Computer Science, Mathematics, Statistics, Physics or a related quantitative discipline

5+ years of experience building and deploying machine learning models in a production environment (ideally in consumer tech, fintech, or e-commerce)

Expert proficiency in Python and SQL, with deep experience in modern ML/DL frameworks

Experience with ranking, retrieval, and multi-stage recommendation architectures

Proven ability to explain complex AI concepts to non-technical stakeholders and link model performance to business outcomes

Preferred

No preferred qualifications listed.