Scientist Jobs at Intuit with Visa Sponsorship
Scientist jobs at Intuit sit at the intersection of data, behavioral research, and product development, covering everything from applied machine learning to consumer insights. Intuit has a consistent track record of sponsoring international talent for this function across multiple visa categories.
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Credit Karma is looking for a Senior AI Scientist to join our Partner Decision Science team — the group at the center of how the country's largest banks and fintech lenders build, target, and approve on the Credit Karma Lightbox platform. In this role, you will be the technical bridge between Credit Karma's decision-science platform and the data science and credit-risk teams at our partners, turning their objectives into production models that increase conversion and revenue while giving our members greater certainty that they'll be approved for the products they're matched with.
This is a highly cross-functional role. You will partner closely with internal business development, engineering, product, and data and analytics teams, as well as with external partner teams that range from hands-on analysts to senior leaders. Success depends as much on your ability to influence and translate across these audiences as it does on your technical depth — we are looking for a scientist who can go deep in the data and models, then clearly explain the "so what" to a room of business and partner stakeholders.
You will pair strong machine learning skills with real business acumen, applying techniques that span credit-risk and targeting modeling, recommendation and ranking, experimentation, and — where it adds value — generative AI, all in service of the most relevant, best-timed financial recommendations for our members.
Responsibilities
- Serve as the technical bridge between Credit Karma's decision-science platform and the data science and credit-risk teams at partner banks and fintech lenders, ensuring partner data and modeling requirements are met end to end.
- Design, build, and optimize large-scale targeting and approval models that grow conversion and revenue for Credit Karma and its partners while improving approval certainty for members.
- Advance the partner modeling toolkit — feature engineering on consumer credit and bureau data, modern ML methods, and emerging GenAI applications — to lift partner model performance and member relevance.
- Build strong relationships with partner data science and risk teams, from individual contributors to managers and directors, and coach them on the capabilities of the Credit Karma platform.
- Partner cross-functionally with internal business development, engineering, product, and data and analytics teams to translate partner needs into platform capabilities and move models into production.
- Represent the Partner Decision Science team in cross-functional and partner-facing meetings, translating complex technical subject matter for executive and non-technical audiences and advocating for partners inside Credit Karma and for Credit Karma with partners.
- Act like an owner: identify high-impact opportunities across the partner portfolio, propose solutions, and see them through to production and measurable results.
Qualifications
- MS in Statistics, Mathematics, Computer Science, Economics, Physics, or a related quantitative discipline (or a BS with equivalent applied experience).
- Approximately 5+ years in credit-risk analytics, data science, or risk management — at a bank, fintech, or credit bureau — with work spanning credit underwriting, model development, or customer valuation.
- Deep, hands-on understanding of credit data, including bureau attributes, risk scores, and alternative data sources.
- Expert proficiency in Python and SQL, with experience in modern ML frameworks and comfort operating on large-scale data (e.g., BigQuery or a comparable warehouse).
- Proven ability to explain complex modeling concepts to non-technical and executive stakeholders and to connect model performance to business outcomes.
- Exceptional verbal and written communication skills, with the ability to convey complex ideas and influence senior audiences in their decision-making.
- External partner-facing experience is a plus.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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.
The expected base pay range for this position is:
Oakland, CA $180,000- $243,500
Overview
Credit Karma is looking for a Senior AI Scientist to join our Partner Decision Science team — the group at the center of how the country's largest banks and fintech lenders build, target, and approve on the Credit Karma Lightbox platform. In this role, you will be the technical bridge between Credit Karma's decision-science platform and the data science and credit-risk teams at our partners, turning their objectives into production models that increase conversion and revenue while giving our members greater certainty that they'll be approved for the products they're matched with.
This is a highly cross-functional role. You will partner closely with internal business development, engineering, product, and data and analytics teams, as well as with external partner teams that range from hands-on analysts to senior leaders. Success depends as much on your ability to influence and translate across these audiences as it does on your technical depth — we are looking for a scientist who can go deep in the data and models, then clearly explain the "so what" to a room of business and partner stakeholders.
You will pair strong machine learning skills with real business acumen, applying techniques that span credit-risk and targeting modeling, recommendation and ranking, experimentation, and — where it adds value — generative AI, all in service of the most relevant, best-timed financial recommendations for our members.
Responsibilities
- Serve as the technical bridge between Credit Karma's decision-science platform and the data science and credit-risk teams at partner banks and fintech lenders, ensuring partner data and modeling requirements are met end to end.
- Design, build, and optimize large-scale targeting and approval models that grow conversion and revenue for Credit Karma and its partners while improving approval certainty for members.
- Advance the partner modeling toolkit — feature engineering on consumer credit and bureau data, modern ML methods, and emerging GenAI applications — to lift partner model performance and member relevance.
- Build strong relationships with partner data science and risk teams, from individual contributors to managers and directors, and coach them on the capabilities of the Credit Karma platform.
- Partner cross-functionally with internal business development, engineering, product, and data and analytics teams to translate partner needs into platform capabilities and move models into production.
- Represent the Partner Decision Science team in cross-functional and partner-facing meetings, translating complex technical subject matter for executive and non-technical audiences and advocating for partners inside Credit Karma and for Credit Karma with partners.
- Act like an owner: identify high-impact opportunities across the partner portfolio, propose solutions, and see them through to production and measurable results.
Qualifications
- MS in Statistics, Mathematics, Computer Science, Economics, Physics, or a related quantitative discipline (or a BS with equivalent applied experience).
- Approximately 5+ years in credit-risk analytics, data science, or risk management — at a bank, fintech, or credit bureau — with work spanning credit underwriting, model development, or customer valuation.
- Deep, hands-on understanding of credit data, including bureau attributes, risk scores, and alternative data sources.
- Expert proficiency in Python and SQL, with experience in modern ML frameworks and comfort operating on large-scale data (e.g., BigQuery or a comparable warehouse).
- Proven ability to explain complex modeling concepts to non-technical and executive stakeholders and to connect model performance to business outcomes.
- Exceptional verbal and written communication skills, with the ability to convey complex ideas and influence senior audiences in their decision-making.
- External partner-facing experience is a plus.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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.
The expected base pay range for this position is:
Oakland, CA $180,000- $243,500
See all 74+ Scientist Jobs at Intuit
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Scientist Jobs at Intuit.
Get Access To All JobsTips for Finding Scientist Jobs at Intuit
Align your research portfolio to Intuit's domains
Intuit Scientist roles center on tax, personal finance, and small business data. Frame your CV around applied research in these areas, quantifying outcomes in consumer behavior, predictive modeling, or NLP, so hiring managers immediately see domain fit.
Target roles that match your exact visa category
Intuit sponsors multiple visa types for Scientist positions, including H-1B, E-3, TN, and F-1 OPT. Filter your search by the category your status requires before applying, since the filing pathway and timeline differ significantly across categories.
Start your OPT application timeline early
If you're relying on F-1 OPT to start at Intuit, USCIS recommends filing up to 90 days before your program end date. A delayed EAD can push back your start date, so coordinate your application window with Intuit's offer timeline, not your graduation ceremony.
Ask hiring managers about internal transfer pathways
Intuit operates large international offices, which makes L-1 visa and internal transfer routes realistic for some Scientist candidates. During later interview stages, ask directly whether the role could support an intracompany transfer if your current situation fits that profile.
Prepare for a PERM-backed green card conversation at offer stage
Intuit sponsors EB-2 and EB-3 green cards for Scientist roles, which typically requires a PERM labor certification from DOL. Ask at the offer stage whether the role is designated for permanent sponsorship and what the standard timeline looks like for this position level.
Use Migrate Mate to surface Intuit Scientist openings by visa type
Scientist roles at Intuit open and close quickly across research, data science, and analytics functions. Use Migrate Mate to filter live Intuit openings by your specific visa category so you're applying to roles where sponsorship is already confirmed, not guessing from a generic job listing.
Frequently Asked Questions
Does Intuit sponsor H-1B visas for Scientists?
Yes, Intuit sponsors H-1B visas for Scientist roles. Intuit is a well-established H-1B petitioner, which means it files petitions regularly for technical and research positions. If you're subject to the H-1B cap, your start date will depend on the April lottery and an October 1 start. Cap-exempt scenarios, such as transfers from a cap-exempt employer, follow a different timeline.
How do I apply for Scientist jobs at Intuit?
Apply directly through Intuit's careers portal after identifying a role that matches your research background and visa category. Tailor your application to the specific Scientist function, whether that's data science, behavioral research, or applied AI, since Intuit's recruiting teams are specialized by product area. Migrate Mate lets you filter current Intuit Scientist openings by visa type before you apply, so you can confirm sponsorship eligibility upfront.
Which visa types does Intuit commonly use for Scientist roles?
Intuit sponsors a broad range of visa categories for Scientist positions, including H-1B, E-3 visa (for Australian citizens), TN visa (for Canadian and Mexican nationals), F-1 OPT and CPT, J-1 visa, and Green Card pathways through EB-2 and EB-3. The right category depends on your nationality, degree level, and where you are in the hiring process. Confirming which categories apply to a specific role early in the process saves significant time.
What qualifications does Intuit expect for Scientist roles?
Most Scientist roles at Intuit require at least a master's degree in a quantitative field, such as statistics, computer science, economics, or a related discipline. PhD holders are competitive for senior research positions. Practical experience with large-scale data systems, experimentation frameworks, or consumer behavior modeling is weighted heavily. Intuit's research agenda connects closely to its core products, so applied work in fintech or consumer technology contexts stands out.
How do I think about timing when targeting Intuit for H-1B sponsorship?
If you need an H-1B cap filing, target Intuit applications in the December to February window so an offer can be secured before the April 1 registration period. USCIS typically opens H-1B registration in March, and employers must have confirmed candidates before filing. Premium processing, currently available for H-1B petitions, can shorten USCIS adjudication to around 15 business days if your start date is time-sensitive.