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 (car, home and personal) 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.

*Banking services provided by MVB Bank, Inc., Member FDIC

As a Staff Front End Software Engineer on our product engineering team, you’ll get to lead a growing team at Credit Karma that works across various verticals (home, auto, personal loans, and credit cards). You’ll impact a platform that is responsible for handling millions of members accessing their Credit Karma accounts, including registration, login, SMS 2FA, and account recovery.  Further, you’ll help build product experiences that guide our members through the most challenging financial decision of their lifetime: buying their dream home. From finding a realtor, understanding loan options, and applying to get pre-approved, we help our members every step of the way. There is an enormous opportunity to build things at scale, move fast, and have a high impact across many different products, including our Core product, Auto, Mortgage and Assets.

What you’ll do:

• Develop features and improvements for the various consumer facing products at Credit Karma using React and Typescript
• Develop, maintain and advocate Frontend code quality standards and best practices. Teach and reinforce these principles through code review
• Solve technical problems of the highest scope and complexity for the team. Serve as a technical leader, resource, and mentor for the other members of the Frontend Engineering team

What’s great about the role:

• Impact our business is experiencing explosive growth and we are actively growing the team to improve and expand our product portfolio
• We are solving BIG problems that are fundamentally changing old industries 
• Opportunity to meaningfully improve the lives of our members
• Fast-paced environment that operates like a ‘start-up’ within Credit Karma

Minimum Basic Requirements:

• 10+ years of programming experience with a focus on front end development
• 4+ years experience in at least one relevant front-end framework (React, Vue, Angular, etc.)
• 4-6 years experience in microservices architecture, messaging patterns, and deployment models
• Experience in API design and building robust and extendable client/server contracts.

Preferred Qualifications: 

• Proficient in TypeScript
• Experience with GraphQL
• Ability to mentor, teach and coach early career team members
• Strong command of modern HTML and CSS
• A solid foundation in OOP, design patterns, algorithms, programming languages
• Experience with A/B testing
• Experience building highly integrated and testable systems
• Strong communication and leadership abilities.
• Experience with Agile/Scrum practices.
• Bachelor’s or Masters degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field or software development training program

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 (car, home and personal) 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.

*Banking services provided by MVB Bank, Inc., Member FDIC

The Growth Technology Product team is the Data & AI Product team at Credit Karma and it delivers tools, platforms, and AI products used across channels like in-app, email, push, and paid advertising to help members achieve financial progress. Our team manages large-scale data platforms to support data scientists, build self-serve tools for marketing teams, and personalize experiences for over 100 million members. As a Product Manager in the Data & AI team, you will drive strategic partnerships across marketing, data science, and engineering, transforming ideas into impactful product launches. By leading the In-app Recommendation DS  team, you’ll develop innovative marketing technologies, shape AI-powered platforms, and empower millions of members to improve their financial well-being.

What you’ll do:

• Define and Execute Product Strategy: Develop and own the strategy, roadmap, and execution plan for in-app ranking and recommendations. Owning the in-app recommendation area you will lead the end to end experience of what each user will see, when they will see it, and how they will see it (which template, what copy, what format, etc)
• Build Cross-Channel Platforms: Design and implement strategies that enable consistent, seamless experiences across all in-app surfaces, ensuring each interaction is carried over to the next screen, unlocking value for members and empowering CK to drive lasting engagement
• Establish Clear Product Goals: Define product requirements, success metrics, and milestones in alignment with organizational priorities. Work collaboratively with cross-functional teams to execute the roadmap and deliver measurable outcomes
• Deliver High-Quality Outcomes: Partner with engineering, data science, and design teams to ensure timely, high-quality product delivery
• Build the Team Culture: Foster a culture of collaboration, accountability, and shared ownership to achieve team and organizational goals
• Develop Go-to-Market Strategies: Collaborate with research and marketing teams to craft go-to-market strategies, refine messaging, and ensure the product delivers on its value proposition
• Collaborate Closely with Leadership: Work with Credit Karma leadership to align on the product vision, prioritize initiatives, and ensure the product drives the mission of championing financial progress for all

What’s great about the role:

• You will work in a small team environment while delivering massive impact to both our members and the organization
• You will have direct access to executives and collaborate closely with leaders across the company
• You will solve BIG, industry-changing problems while innovating with AI-driven, personalized financial platforms
• You will create meaningful impact at scale for more than 140 million members, empowering them to achieve financial progress
• You will influence strategies that shape Credit Karma’s vision and mission, driving innovation in a collaborative and fast-paced environment

What we are looking for:

• 6+ years of product experience in building consumer user experiences
• 4+ years of product experience in using AI/ML in consumer experiences
• Bachelor’s degree from an accredited college or university
• Outstanding communication skills at all levels of the technology and product organizations, ranging from VPs to individual contributors
• Broad technical working knowledge of platforms, and Machine Learning Infrastructures, and AI models
• Eagerness to challenge the status quo, balanced with a reasonable and methodical approach to effecting change
• A fun and positive attitude!

What we’d like to see: 

• Proven track record of shipping multiple complex consumer products with broad reach and measurable business impact
• Ability to balance speed of execution with maintaining a high standard of quality, ensuring consistent delivery of excellent results
• Comfort working with ambiguous goals and in dynamic environments where priorities may shift frequently
• Experience in both startup-like and enterprise-scale environments, demonstrating agility in execution and effective communication with stakeholders and leadership
• Strong creative product thinking, with the ability to collaborate closely with design to craft simple, intuitive, and delightful experiences that address complex constraints and requirements
• Versatility in managing projects across the product lifecycle—from early-stage, pre-product-market-fit initiatives to scaling established, market-leading solutions
• Outcome-driven mindset with expertise in defining key success metrics and aligning product plans to deliver measurable results
• Data-driven decision-making approach to strategic planning, with a strong ability to translate strategy into actionable roadmaps and execution plans 

Benefits include:

• Medical and Dental Coverage
• Retirement Plan
• Commuter Benefits
• Wellness perks
• Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
• Education Perks
• Paid Gift Week in December

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 (car, home and personal) 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.

*Banking services provided by MVB Bank, Inc., Member FDIC

We’re seeking a Staff Product Manager to drive strategy and execution of new and existing initiatives for Credit Karma Money, the checking, savings, and associated financial products. This role requires a deep understanding of user needs, a strong analytical background, and the ability to lead cross-functional teams to deliver impactful products that help our members make financial progress.

What you’ll do:

• Define projects by establishing business justification, potential impact, and clear product requirements
• Utilize deep consumer insights and market trends to inform product decisions and continuously gather and analyze user feedback to drive consistent improvements in product experience
• Collaborate closely across Credit Karma, Intuit, and external partner teams to deliver high-quality projects within defined timelines
• Effectively communicate strategy, decisions, project status, and other vital details to leadership and translate their feedback into action
• Monitor product health and performance by proactively identifying opportunities and making actionable recommendations to drive improvements
• Develop experiments and research plans to identify product opportunities and prioritize the roadmap
• Oversee the product lifecycle from ideation and concept development to launch and iterative improvement, ensuring timely and high-quality delivery of product milestones

What we are looking for:

• 8+ years of hands-on experience managing consumer FinTech products, ideally neobanking

What we’d like to see: 

• Degree in a technical discipline
• Love of crafting market-leading consumer product experiences from positioning to pixels
• Experience translating complex, confusing, and frustrating concepts into simple, elegant, and understandable experiences
• Deep appreciation for the power of consumer finance products to change people’s lives
• Possess high energy and enjoy thriving in a rapidly-changing, ambiguous, high-growth environment
• Flexible to react to changing priorities, and able to prioritize and deliver in a deadline-oriented environment

Pay Transparency Notice: 

Credit Karma’s mission of championing financial progress for all starts from within. That’s why we implemented role-based compensation, which ensures people who are in the same role receive the same pay with variations for geographic location only. It’s all part of a more comprehensive DEI strategy that helps level the playing field. The base salary range for this role is $250,000, plus equity and benefits. 

Benefits include:

• Medical and Dental Coverage
• Retirement Plan
• Commuter Benefits
• Wellness perks
• Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
• Education Perks
• Paid Gift Week in December

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 (car, home and personal) 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.

*Banking services provided by MVB Bank, Inc., Member FDIC

Intuit’s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.

As we expand into Consumer Lending within the Consumer Group, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk AI Science team. In this role, you’ll develop cutting-edge credit risk AI/ML models for new lending products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers.

What you’ll do:

• Contribute to the credit risk AI science initiatives for the new and evolving Money product offerings focusing on the lending domain, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data  strategy across all involved teams.
• Design, build, deploy, evaluate, defend, and monitor machine learning models to predict credit risk for various short-term lending products (e.g., tax refund advances, BNPL, installment loans, single payment loans, and early wage access)
• Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions
• Build efficient and reusable data pipelines for feature generation, model development,  scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures 
• Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers 
• Ensure model fairness, interpretability, and compliance with FCRA, ECOA, and other relevant regulatory frameworks 
• Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions.
• Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment.

What’s great about the role:

• Solve hard, meaningful problems giving customers access to their hard-earned money alongside fun, smart people.
• Experience professional growth and encourage growth throughout the team.
• Work cross functionally (with executives, engineering, policy & rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact

Minimum Basic Requirements:

• Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline
• 6+ years of work experience in AI Science / Machine Learning and related areas
• Authoritative knowledge of Python and SQL
• Relevant work experience in fintech credit risk, with deep understanding of payment systems, money movement products, banking, and  lending
• Experience leveraging credit bureau, tax and cash flow data in credit risk model development
• Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. 
• Deep understanding of credit risk modeling concepts, including PD calibration, reject inference, adverse action logic, and risk segmentation
• Ability to quickly develop a deep statistical understanding of large, complex datasets
• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models
• Strong business problem solving, communication and collaboration skills
• Ambitious, results oriented, hardworking, team player, innovator and creative thinker
• Proven experience defining and driving end-to-end modeling frameworks, methodologies, or best practices across multiple product teams or domains
• Demonstrated ability to evaluate and integrate emerging AI/ML technologies, contributing to the company’s external technical visibility and innovation agenda

Preferred Qualifications:

• Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.  
• Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow 
• Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control
• Experience with experimentation design and analysis, including A/B testing and statistical analysis

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position in San Diego is $191,500 – 259,000. This position will 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.

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 (car, home and personal) 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.

*Banking services provided by MVB Bank, Inc., Member FDIC

About the team and the role: 

Intuit Credit Karma seeks a seasoned Staff Data Engineer to play a key role in building a comprehensive data model for our Unified Customer Profile, a critical component of Intuit’s competitive advantage. With a strong background in data architecture and engineering, you will design and implement scalable data solutions that support multiple use cases across different products or domains. Your expertise will directly impact the direction of engineering teams and influence company-wide data strategies, fostering a culture of innovation and operational excellence. This role carries significant responsibility and visibility—as a Staff Engineer, you’ll be one of the most senior leaders shaping both the technical vision and the culture of our organization. You’ll set the tone, inspire the team, and be a driving force behind our success.

We seek engineers who act decisively and focus relentlessly on delivering practical solutions. If you’re ready to step up, lead with impact, and help define the future, this opportunity is yours.

What you’ll do:

• Develop and Conceptualize Data Architecture Capabilities: Design, develop, and own data architecture capabilities for large-scale projects, focusing on data ingestion, processing, storage, and retrieval, while evaluating design and operational cost-benefit tradeoffs within systems.
• Build Unified Customer Profile: Lead the development of a comprehensive data model and services for Credit Karma and Intuit’s Unified Customer profile, integrating financial data across multiple sources and systems, ensuring data quality and governance.
• Understand Capability Customers: Collaborate with stakeholders to understand the needs of capability customers, including data scientists, product managers, and business leaders.
• Develop and Drive Data-Driven Roadmaps: Develop roadmaps for data architecture capabilities that align with business objectives and overall technology strategy, influencing engineering, product and cross-functional teams to identify data opportunities and drive impactful business decisions.
• Establish Data Architecture Best Practices: Develop, maintain, and enforce data architecture standards, best practices, and design patterns to ensure consistency and quality across data capabilities.
• Enable Seamless Data Integration and Interoperability: Foster data integration and interoperability across Credit Karma and Intuit’s systems, enabling seamless data sharing and powering personalized member experiences by solving complex data integration problems using optimal ETL patterns, frameworks, and query techniques.
• Optimize Data Infrastructure for Efficiency: Optimize data pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts, ensuring efficient and effective data integration and processing.
• Mentor and Develop Team Members: Mentor team members by giving/receiving actionable feedback, promoting growth and development.

Qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience with 10+ years of relevant experience.
• Deep understanding of data modeling principles, including schema design and dimensional data modeling, with experience in writing efficient SQL queries.
• Experience with data processing, storage, and querying technologies (e.g., Hadoop, Spark, Flink Streaming, Bigquery, Dataflow, Airflow, Bigtable, Spanner and Dynamo) and object-oriented programming languages (e.g., Python, Java, C++).
• Experience with semantic search (e.g Vertex AI search, AWS cloud search) and knowledge graph (e.g neo4j, ..) to integrate our data with generative AI experiences  
• Strong background in data science, with experience identifying data gaps and inconsistencies, and communicating data warehouse plans to internal customers.
• Ability to architect and develop scalable data solutions, staying ahead of industry trends and integrating best practices in data engineering.
• Excellent technical communication skills, with the ability to collaborate with cross-functional teams and drive technical innovation in data engineering.

Benefits at Credit Karma includes:

• Medical and Dental Coverage
• Retirement Plan
• Commuter Benefits
• Wellness perks
• Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
• Education Perks
• Paid Gift Week in December

Pay Transparency Notice: Credit Karma’s mission of championing financial progress for all starts from within. That’s why we implemented role-based compensation, which ensures people who are in the same role receive the same pay with variations for geographic location only. It’s all part of a more comprehensive DEI strategy that helps level the playing field. The base salary for this role is $354,878, plus equity and benefits.

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 (car, home and personal) 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.

*Banking services provided by MVB Bank, Inc., Member FDIC

Intuit’s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.

As we expand into Consumer Lending within the Consumer Group, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk AI Science team. In this role, you’ll develop cutting-edge credit risk AI/ML models for new lending products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers.

What you’ll do:

• Contribute to the credit risk AI science initiatives for the new and evolving Money product offerings focusing on the lending domain, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data  strategy across all involved teams.
• Design, build, deploy, evaluate, defend, and monitor machine learning models to predict credit risk for various short-term lending products (e.g., tax refund advances, BNPL, installment loans, single payment loans, and early wage access)
• Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions
• Build efficient and reusable data pipelines for feature generation, model development,  scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures 
• Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers 
• Ensure model fairness, interpretability, and compliance with FCRA, ECOA, and other relevant regulatory frameworks 
• Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions.
• Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment.

What’s great about the role:

• Solve hard, meaningful problems giving customers access to their hard-earned money alongside fun, smart people.
• Experience professional growth and encourage growth throughout the team.
• Work cross functionally (with executives, engineering, policy & rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact

Minimum Basic Requirements:

• Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline
• 6+ years of work experience in AI Science / Machine Learning and related areas
• Authoritative knowledge of Python and SQL
• Relevant work experience in fintech credit risk, with deep understanding of payment systems, money movement products, banking, and  lending
• Experience leveraging credit bureau, tax and cash flow data in credit risk model development
• Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. 
• Deep understanding of credit risk modeling concepts, including PD calibration, reject inference, adverse action logic, and risk segmentation
• Ability to quickly develop a deep statistical understanding of large, complex datasets
• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models
• Strong business problem solving, communication and collaboration skills
• Ambitious, results oriented, hardworking, team player, innovator and creative thinker
• Proven experience defining and driving end-to-end modeling frameworks, methodologies, or best practices across multiple product teams or domains
• Demonstrated ability to evaluate and integrate emerging AI/ML technologies, contributing to the company’s external technical visibility and innovation agenda

Preferred Qualifications:

• Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.  
• Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow 
• Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control
• Experience with experimentation design and analysis, including A/B testing and statistical analysis

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position in Bay Area California is $205,500 – 278,000. This position will 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.

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 (car, home and personal) 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.

*Banking services provided by MVB Bank, Inc., Member FDIC

Intuit’s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.

As we expand into Consumer Lending within the Consumer Group, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk AI Science team. In this role, you’ll develop cutting-edge credit risk AI/ML models for new lending products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers.

What you’ll do:

• Contribute to the credit risk AI science initiatives for the new and evolving Money product offerings focusing on the lending domain, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data  strategy across all involved teams.
• Design, build, deploy, evaluate, defend, and monitor machine learning models to predict credit risk for various short-term lending products (e.g., tax refund advances, BNPL, installment loans, single payment loans, and early wage access)
• Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions
• Build efficient and reusable data pipelines for feature generation, model development,  scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures 
• Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers 
• Ensure model fairness, interpretability, and compliance with FCRA, ECOA, and other relevant regulatory frameworks 
• Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions.
• Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment.

What’s great about the role:

• Solve hard, meaningful problems giving customers access to their hard-earned money alongside fun, smart people.
• Experience professional growth and encourage growth throughout the team.
• Work cross functionally (with executives, engineering, policy & rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact

Minimum Basic Requirements:

• Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline
• 6+ years of work experience in AI Science / Machine Learning and related areas
• Authoritative knowledge of Python and SQL
• Relevant work experience in fintech credit risk, with deep understanding of payment systems, money movement products, banking, and  lending
• Experience leveraging credit bureau, tax and cash flow data in credit risk model development
• Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. 
• Deep understanding of credit risk modeling concepts, including PD calibration, reject inference, adverse action logic, and risk segmentation
• Ability to quickly develop a deep statistical understanding of large, complex datasets
• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models
• Strong business problem solving, communication and collaboration skills
• Ambitious, results oriented, hardworking, team player, innovator and creative thinker
• Proven experience defining and driving end-to-end modeling frameworks, methodologies, or best practices across multiple product teams or domains
• Demonstrated ability to evaluate and integrate emerging AI/ML technologies, contributing to the company’s external technical visibility and innovation agenda

Preferred Qualifications:

• Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.  
• Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow 
• Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control
• Experience with experimentation design and analysis, including A/B testing and statistical analysis

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position in New York City, New York is $201,500 – 273,000. This position will 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.

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 (car, home and personal) 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.

*Banking services provided by MVB Bank, Inc., Member FDIC

Intuit’s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.

As we expand into Consumer Lending within the Consumer Group, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk AI Science team. In this role, you’ll develop cutting-edge credit risk AI/ML models for new lending products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers.

What you’ll do:

• Contribute to the credit risk AI science initiatives for the new and evolving Money product offerings focusing on the lending domain, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data  strategy across all involved teams.
• Design, build, deploy, evaluate, defend, and monitor machine learning models to predict credit risk for various short-term lending products (e.g., tax refund advances, BNPL, installment loans, single payment loans, and early wage access)
• Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions
• Build efficient and reusable data pipelines for feature generation, model development,  scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures 
• Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers 
• Ensure model fairness, interpretability, and compliance with FCRA, ECOA, and other relevant regulatory frameworks 
• Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions.
• Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment.

What’s great about the role:

• Solve hard, meaningful problems giving customers access to their hard-earned money alongside fun, smart people.
• Experience professional growth and encourage growth throughout the team.
• Work cross functionally (with executives, engineering, policy & rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact

Minimum Basic Requirements:

• Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline
• 6+ years of work experience in AI Science / Machine Learning and related areas
• Authoritative knowledge of Python and SQL
• Relevant work experience in fintech credit risk, with deep understanding of payment systems, money movement products, banking, and  lending
• Experience leveraging credit bureau, tax and cash flow data in credit risk model development
• Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. 
• Deep understanding of credit risk modeling concepts, including PD calibration, reject inference, adverse action logic, and risk segmentation
• Ability to quickly develop a deep statistical understanding of large, complex datasets
• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models
• Strong business problem solving, communication and collaboration skills
• Ambitious, results oriented, hardworking, team player, innovator and creative thinker
• Proven experience defining and driving end-to-end modeling frameworks, methodologies, or best practices across multiple product teams or domains
• Demonstrated ability to evaluate and integrate emerging AI/ML technologies, contributing to the company’s external technical visibility and innovation agenda

Preferred Qualifications:

• Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.  
• Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow 
• Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control
• Experience with experimentation design and analysis, including A/B testing and statistical analysis

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position in Bay Area California is $205,500 – 278,000. This position will 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.

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 (car, home and personal) 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.

*Banking services provided by MVB Bank, Inc., Member FDIC

Credit Karma seeks a visionary Staff Data Scientist II who will revolutionize our recommendation engine in ad technology by harnessing the latest advancements in machine learning and GenAI. As a technical leader and mentor, you will drive the development of next-generation AI-powered monetization strategies, collaborating and communicating with leadership across all lines of business, including their respective engineering, product, partnerships, and analytics teams. 

With a strong background in data science and machine learning paired with excellent communication skills, you will architect and implement scalable solutions w/ cross-team alignment that create the best ML-driven experiences for our members, propelling lifetime value and revenue growth for the company and partners. Your expertise will directly impact the direction of data science in facilitating business growth and will influence company-wide strategies – fostering a culture of innovation and operational excellence. You will stay ahead of industry trends, integrating cutting-edge techniques into our tech stack, and mentor team members to achieve exceptional results. Your unique blend of technical acumen, leadership, strategic thinking, and communication skills will make you a driving force in shaping Credit Karma’s future.

What you’ll do:

• Collaborate with Engineering, Product, and cross-functional teams to architect and implement cutting edge machine learning systems at scale, driving technical strategy and roadmap for AI capabilities
• Present and drive alignment w/ Senior Leadership across all lines of business on ad technology innovations
• Define and execute the technical vision for current and future ML capabilities as it relates to ad recommendations, with a focus on GenAI and Agentic systems
• Design and develop large-scale AI systems, leveraging expertise to evolve current systems and create competitive advantages in ad tech
• Stay ahead of industry trends and challenges, identifying opportunities and risks to inform technical decisions and drive innovation
• Provide technical guidance, mentoring, and oversight to data scientists and engineers, promoting best practices and knowledge sharing
• Exhibit intellectual curiosity, intrinsic drive, decisiveness, and resilience in navigating technical ambiguity and complexity

Minimum Requirement:

• MS/PhD in a quantitative discipline (e.g., computer science, machine learning, data science, engineering) with 10+ years of experience in data science, software engineering, or data architecture
• Excellent communication skills with both technical and non-technical audiences, with the ability to collaborate with cross-functional teams and drive innovation
• Proven track record of designing and implementing large-scale machine learning systems, with expertise in scaling AI-powered solutions
• Ability to architect and develop next-generation ML systems, staying ahead of industry trends and integrating latest advancements (e.g., GenAI)
• Deep understanding of current ML systems and the ability to evolve them into cutting-edge, innovative, and scalable solutions
• Strong background in programming languages (e.g., Python, Java, C++)
• Strong understanding of operational maturity, industry challenges, and future risks and opportunities in large-scale AI systems

Preferred Qualifications:

• Ad technology and product expertise
• Experience with driving monetization through AI
• Expertise developing GenAI capabilities and supporting tools and infrastructure
• Ability to balance fast paced environments at a large scale company

Pay Transparency Notice: 

Credit Karma’s mission of championing financial progress for all starts from within. That’s why we implemented role-based compensation, which ensures people who are in the same role receive the same pay with variations for geographic location only. It’s all part of a more comprehensive DEI strategy that helps level the playing field. The base salary range for this role is $413,306, plus equity and benefits. 

Benefits at Credit Karma includes:

• Medical and Dental Coverage
• Retirement Plan
• Commuter Benefits
• Wellness perks
• Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
• Education Perks
• Paid Gift Week in December

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 (car, home and personal) 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.

*Banking services provided by MVB Bank, Inc., Member FDIC

Intuit’s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.

As we expand our primary banking and lending products, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk Data Science team. In this role, you’ll develop cutting-edge credit risk AI/ML fraud models to enable existing and new money movement products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers.

What you’ll do:

• Contribute to the fraud risk AI science initiatives for the new and evolving Money product offerings, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data  strategy across all involved teams
• Design, build, deploy, evaluate, defend, and monitor machine learning models to predict and detect fraud risk for our primary banking product (CK Money) and various short-term lending products (e.g., tax refund advances, FNPL, installment loans, single payment loans, and early wage access)
• Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions
• Build efficient and reusable data pipelines for feature generation, model development,  scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures 
• Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers 
• Ensure model fairness, interpretability, and compliance
• Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions
• Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment

What’s great about the role:

• Solve hard, meaningful problems giving customers (not fraudsters) access to their hard-earned money alongside fun, smart people
• Experience professional growth and encourage growth throughout the team
• Work cross functionally (with executives, engineering, policy & rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact

Minimum Basic Requirement:

• Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline
• 6+ years of work experience in AI Science / Machine Learning and related areas
• Authoritative knowledge of Python and SQL
• Relevant work experience in fintech fraud risk, with deep understanding of money movement products, banking, lending, and fraud detection data
• Relevant work experience in credit risk and/or financial fraud risk, with deep understanding of payment systems, money movement products, banking, and lending
• Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing
• Deep understanding of fraud risk modeling concepts, including fraud score calibration, label bias correction, case disposition logic, and network or graph-based link analysis for identifying organized or collusive fraud patterns.
• Ability to quickly develop a deep statistical understanding of large, complex datasets
• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models
• Strong business problem solving, communication and collaboration skills
• Ambitious, results oriented, hardworking, team player, innovator and creative thinker
• Proven experience defining and driving end-to-end modeling frameworks, methodologies, or best practices across multiple product teams or domains.
• Demonstrated ability to evaluate and integrate emerging AI/ML technologies, contributing to the company’s external technical visibility and innovation agenda.

Preferred Qualifications:

• Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.  
• Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow 
• Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control
• Experience with experimentation design and analysis, including A/B testing and statistical analysis

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position in New York City, New York is $201,500 – 273,000. This position will 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.

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 (car, home and personal) 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.

*Banking services provided by MVB Bank, Inc., Member FDIC

I

Intuit’s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.

As we expand our primary banking and lending products, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk Data Science team. In this role, you’ll develop cutting-edge credit risk AI/ML fraud models to enable existing and new money movement products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers.

What you’ll do:

• Contribute to the fraud risk AI science initiatives for the new and evolving Money product offerings, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data  strategy across all involved teams
• Design, build, deploy, evaluate, defend, and monitor machine learning models to predict and detect fraud risk for our primary banking product (CK Money) and various short-term lending products (e.g., tax refund advances, FNPL, installment loans, single payment loans, and early wage access)
• Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions
• Build efficient and reusable data pipelines for feature generation, model development,  scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures 
• Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers 
• Ensure model fairness, interpretability, and compliance
• Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions
• Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment

What’s great about the role:

• Solve hard, meaningful problems giving customers (not fraudsters) access to their hard-earned money alongside fun, smart people
• Experience professional growth and encourage growth throughout the team
• Work cross functionally (with executives, engineering, policy & rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact

Minimum Basic Requirement:

• Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline
• 6+ years of work experience in AI Science / Machine Learning and related areas
• Authoritative knowledge of Python and SQL
• Relevant work experience in fintech fraud risk, with deep understanding of money movement products, banking, lending, and fraud detection data
• Relevant work experience in credit risk and/or financial fraud risk, with deep understanding of payment systems, money movement products, banking, and lending
• Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing
• Deep understanding of fraud risk modeling concepts, including fraud score calibration, label bias correction, case disposition logic, and network or graph-based link analysis for identifying organized or collusive fraud patterns.
• Ability to quickly develop a deep statistical understanding of large, complex datasets
• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models
• Strong business problem solving, communication and collaboration skills
• Ambitious, results oriented, hardworking, team player, innovator and creative thinker
• Proven experience defining and driving end-to-end modeling frameworks, methodologies, or best practices across multiple product teams or domains.
• Demonstrated ability to evaluate and integrate emerging AI/ML technologies, contributing to the company’s external technical visibility and innovation agenda.

Preferred Qualifications:

• Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.  
• Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow 
• Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control
• Experience with experimentation design and analysis, including A/B testing and statistical analysis

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position in San Diego is $191,500 – 259,000. This position will 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.

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 (car, home and personal) 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.

*Banking services provided by MVB Bank, Inc., Member FDIC

Intuit’s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.

As we expand our primary banking and lending products, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk Data Science team. In this role, you’ll develop cutting-edge credit risk AI/ML fraud models to enable existing and new money movement products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers.

What you’ll do:

• Contribute to the fraud risk AI science initiatives for the new and evolving Money product offerings, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data  strategy across all involved teams
• Design, build, deploy, evaluate, defend, and monitor machine learning models to predict and detect fraud risk for our primary banking product (CK Money) and various short-term lending products (e.g., tax refund advances, FNPL, installment loans, single payment loans, and early wage access)
• Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions
• Build efficient and reusable data pipelines for feature generation, model development,  scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures 
• Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers 
• Ensure model fairness, interpretability, and compliance
• Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions
• Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment

What’s great about the role:

• Solve hard, meaningful problems giving customers (not fraudsters) access to their hard-earned money alongside fun, smart people
• Experience professional growth and encourage growth throughout the team
• Work cross functionally (with executives, engineering, policy & rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact

Minimum Basic Requirement:

• Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline
• 6+ years of work experience in AI Science / Machine Learning and related areas
• Authoritative knowledge of Python and SQL
• Relevant work experience in fintech fraud risk, with deep understanding of money movement products, banking, lending, and fraud detection data
• Relevant work experience in credit risk and/or financial fraud risk, with deep understanding of payment systems, money movement products, banking, and lending
• Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing
• Deep understanding of fraud risk modeling concepts, including fraud score calibration, label bias correction, case disposition logic, and network or graph-based link analysis for identifying organized or collusive fraud patterns.
• Ability to quickly develop a deep statistical understanding of large, complex datasets
• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models
• Strong business problem solving, communication and collaboration skills
• Ambitious, results oriented, hardworking, team player, innovator and creative thinker
• Proven experience defining and driving end-to-end modeling frameworks, methodologies, or best practices across multiple product teams or domains.
• Demonstrated ability to evaluate and integrate emerging AI/ML technologies, contributing to the company’s external technical visibility and innovation agenda.

Preferred Qualifications:

• Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.  
• Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow 
• Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control
• Experience with experimentation design and analysis, including A/B testing and statistical analysis

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position in Bay Area California is $205,500 – 278,000. This position will 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.