Credit Karma
Staff AI Scientist - Consumer Risk Fraud (Intuit)
Credit Karma, New York, New York, us, 10261
Overview
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Staff AI Scientist - Consumer Risk Fraud (Intuit)
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Credit Karma . Intuit Credit Karma is a mission-driven company focused on championing financial progress for our more than 140 million members globally. We offer services including free credit scores, identity monitoring, and assistance with financial goals across banking, loans, insurance, and savings. Banking services are provided by MVB Bank, Inc., Member FDIC. Credit Karma has grown to over 1,700 employees across multiple offices worldwide. Intuit’s Consumer Group, including TurboTax and Credit Karma, enables customers to manage finances with data- and AI-powered offerings. As we expand our primary banking and lending products, Credit Karma is seeking an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk Data Science team. You will develop cutting-edge credit risk AI/ML fraud models to enable existing and new money movement products, working with a collaborative team of AI scientists and machine learning engineers with a direct impact on hundreds of thousands of customers. What you’ll do
Contribute to the fraud risk AI science initiatives for the Money product offerings, owning the model lifecycle, driving data strategy, and sharing ownership of success at the program level Design, build, deploy, evaluate, defend, and monitor ML models to predict and detect fraud risk for CK Money and various short-term lending products Collaborate with credit policy, product, and fraud risk teams to align models with business goals and product offerings to enable actionable lending decisions Build efficient data pipelines for feature generation, model development, scoring, and reporting using Python, SQL, and ML/AI infrastructures Deploy models in production in collaboration with other AI scientists and ML engineers Ensure model fairness, interpretability, and compliance Contribute to the evolution of data and ML infrastructure within the Intuit ecosystem to improve efficiency and effectiveness Research and implement practical ML and statistical approaches suited to a fast-paced environment What’s great about the role
Solve meaningful problems and help customers access their money securely Opportunities for professional growth and team development Collaborate cross-functionally to maximize data science impact across executives, engineering, policy, product, analytics, and operations Minimum Basic Requirement
Advanced Degree (Ph.D. or MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics, or related quantitative field 6+ years of work experience in AI/ML and related areas Authoritative knowledge of Python and SQL Relevant fintech fraud risk experience with understanding of money movement products, banking, lending, and fraud detection data Experience with developing, deploying, monitoring, and maintaining ML techniques (e.g., deep learning, tree-based models, time series, NLP) Understanding of fraud risk modeling concepts including score calibration, label bias correction, case disposition logic, and network/graph analysis Ability to analyze large, complex datasets and build reusable ML data pipelines Strong business problem solving, communication, and collaboration skills Proactive, results-oriented, team player, innovative thinker Experience defining and driving end-to-end modeling frameworks across multiple product teams Ability to evaluate and integrate emerging AI/ML technologies Preferred Qualifications
Proficiency with deep learning frameworks (TensorFlow, PyTorch, etc.) Experience with public cloud platforms (GCP or AWS) and workflow tools like Apache Airflow Strong MLOps background (Vertex AI or AWS SageMaker) including pipelines, retraining, monitoring, and version control Experience with experimentation design and analysis (A/B testing, statistics) Compensation and Benefits
Intuit provides a competitive compensation package with a strong pay-for-performance approach. The expected base pay for this position in New York City is $201,500 - $273,000. Eligible for a cash bonus, equity rewards, and benefits as per company plans and programs. Pay is based on job-related knowledge, skills, experience, and location; pay Equity considerations are part of our compensation practices. Equal Employment Opportunity
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, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity or gender expression, national origin, veteran status, disability, or other protected characteristics. We prohibit discrimination and comply with applicable fair chance laws. Credit Karma is committed to a diverse and inclusive work environment and offers generous benefits and a collaborative culture. Your voice will be heard and your contributions celebrated. Privacy Policies
Credit Karma is committed to protecting personal data. Review our privacy policies:
GDPR Privacy Policy
and
U.S. Job Applicant Privacy Notice .
#J-18808-Ljbffr
Join to apply for the
Staff AI Scientist - Consumer Risk Fraud (Intuit)
role at
Credit Karma . Intuit Credit Karma is a mission-driven company focused on championing financial progress for our more than 140 million members globally. We offer services including free credit scores, identity monitoring, and assistance with financial goals across banking, loans, insurance, and savings. Banking services are provided by MVB Bank, Inc., Member FDIC. Credit Karma has grown to over 1,700 employees across multiple offices worldwide. Intuit’s Consumer Group, including TurboTax and Credit Karma, enables customers to manage finances with data- and AI-powered offerings. As we expand our primary banking and lending products, Credit Karma is seeking an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk Data Science team. You will develop cutting-edge credit risk AI/ML fraud models to enable existing and new money movement products, working with a collaborative team of AI scientists and machine learning engineers with a direct impact on hundreds of thousands of customers. What you’ll do
Contribute to the fraud risk AI science initiatives for the Money product offerings, owning the model lifecycle, driving data strategy, and sharing ownership of success at the program level Design, build, deploy, evaluate, defend, and monitor ML models to predict and detect fraud risk for CK Money and various short-term lending products Collaborate with credit policy, product, and fraud risk teams to align models with business goals and product offerings to enable actionable lending decisions Build efficient data pipelines for feature generation, model development, scoring, and reporting using Python, SQL, and ML/AI infrastructures Deploy models in production in collaboration with other AI scientists and ML engineers Ensure model fairness, interpretability, and compliance Contribute to the evolution of data and ML infrastructure within the Intuit ecosystem to improve efficiency and effectiveness Research and implement practical ML and statistical approaches suited to a fast-paced environment What’s great about the role
Solve meaningful problems and help customers access their money securely Opportunities for professional growth and team development Collaborate cross-functionally to maximize data science impact across executives, engineering, policy, product, analytics, and operations Minimum Basic Requirement
Advanced Degree (Ph.D. or MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics, or related quantitative field 6+ years of work experience in AI/ML and related areas Authoritative knowledge of Python and SQL Relevant fintech fraud risk experience with understanding of money movement products, banking, lending, and fraud detection data Experience with developing, deploying, monitoring, and maintaining ML techniques (e.g., deep learning, tree-based models, time series, NLP) Understanding of fraud risk modeling concepts including score calibration, label bias correction, case disposition logic, and network/graph analysis Ability to analyze large, complex datasets and build reusable ML data pipelines Strong business problem solving, communication, and collaboration skills Proactive, results-oriented, team player, innovative thinker Experience defining and driving end-to-end modeling frameworks across multiple product teams Ability to evaluate and integrate emerging AI/ML technologies Preferred Qualifications
Proficiency with deep learning frameworks (TensorFlow, PyTorch, etc.) Experience with public cloud platforms (GCP or AWS) and workflow tools like Apache Airflow Strong MLOps background (Vertex AI or AWS SageMaker) including pipelines, retraining, monitoring, and version control Experience with experimentation design and analysis (A/B testing, statistics) Compensation and Benefits
Intuit provides a competitive compensation package with a strong pay-for-performance approach. The expected base pay for this position in New York City is $201,500 - $273,000. Eligible for a cash bonus, equity rewards, and benefits as per company plans and programs. Pay is based on job-related knowledge, skills, experience, and location; pay Equity considerations are part of our compensation practices. Equal Employment Opportunity
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, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity or gender expression, national origin, veteran status, disability, or other protected characteristics. We prohibit discrimination and comply with applicable fair chance laws. Credit Karma is committed to a diverse and inclusive work environment and offers generous benefits and a collaborative culture. Your voice will be heard and your contributions celebrated. Privacy Policies
Credit Karma is committed to protecting personal data. Review our privacy policies:
GDPR Privacy Policy
and
U.S. Job Applicant Privacy Notice .
#J-18808-Ljbffr