Data Scientist Jobs at Intuit with Visa Sponsorship
Intuit hires Data Scientists across its financial technology products, including TurboTax, QuickBooks, and Credit Karma, working on machine learning, personalization, and fraud detection. The company has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B, E-3, and other pathways.
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Join the Intuit Customer Success team as a Staff Data Scientist focused on our Expert Network. In this role, you will help shape the AI strategy for our product support and live experiences. You’ll be central to optimizing our greatest resource—our people—through innovating, experimenting, learning, pivoting, and scaling AI-driven solutions.
As a Staff Data Scientist, you will join our team of talented Data Engineers, Data Analysts, and Data Scientists to develop tools, define metrics, and build a robust Data/AI infrastructure that informs critical business decisions. You will also partner closely with cross functional teams in AI Research, Product Management, Service Delivery, Strategy, and Engineering to develop capabilities that will drive our AI Driven platform into the future.
Responsibilities
- Perform hands-on data analysis and modeling to enable insight and scale the application of AI on large datasets.
- Lead experimental designs and measurement plans.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Build optimization models and simulation tools to support strategic decisions across customer success operations, including workforce planning, customer escalations, root cause analysis, scheduling, and routing.
- Develop and operationalize decision science frameworks to optimize support costs and maximize customer outcomes.
- Partner with stakeholders across Customer Success, Operations, and Strategy teams to embed AI/ML solutions in real-time decision engines and operational workflows.
- Work side-by-side with product managers, software engineers, and designers in designing models, experiments, and minimum viable products.
- Develop generative AI capabilities to power our Expert Network and streamline processes, uncover insights, and reduce the manual burden on the team.
Qualifications
- BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field.
- Advanced proficiency in SQL and a statistical programming language such as Python and/or R.
- 7+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
- Deep understanding of Generative AI and other evolving technologies to accelerate insights from multi-modal data.
- Expertise in experimental design and Multivariate/A-B testing.
- Strong background in optimization techniques, such as linear programming, integer programming, constraint optimization, and simulation modeling.
- Experience building and deploying operational models for staffing, queue management, or dynamic resource allocation.
- Familiarity with customer success metrics and operational KPIs such as Net Promoter Score (NPS), Average Handle Time (AHT), First Contact Resolution (FCR), and agent utilization.
- Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit.
- Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
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:
- Bay Area California $194,000 - 262,500
- Southern California $185,500 - 251,000
Overview
Join the Intuit Customer Success team as a Staff Data Scientist focused on our Expert Network. In this role, you will help shape the AI strategy for our product support and live experiences. You’ll be central to optimizing our greatest resource—our people—through innovating, experimenting, learning, pivoting, and scaling AI-driven solutions.
As a Staff Data Scientist, you will join our team of talented Data Engineers, Data Analysts, and Data Scientists to develop tools, define metrics, and build a robust Data/AI infrastructure that informs critical business decisions. You will also partner closely with cross functional teams in AI Research, Product Management, Service Delivery, Strategy, and Engineering to develop capabilities that will drive our AI Driven platform into the future.
Responsibilities
- Perform hands-on data analysis and modeling to enable insight and scale the application of AI on large datasets.
- Lead experimental designs and measurement plans.
- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
- Build optimization models and simulation tools to support strategic decisions across customer success operations, including workforce planning, customer escalations, root cause analysis, scheduling, and routing.
- Develop and operationalize decision science frameworks to optimize support costs and maximize customer outcomes.
- Partner with stakeholders across Customer Success, Operations, and Strategy teams to embed AI/ML solutions in real-time decision engines and operational workflows.
- Work side-by-side with product managers, software engineers, and designers in designing models, experiments, and minimum viable products.
- Develop generative AI capabilities to power our Expert Network and streamline processes, uncover insights, and reduce the manual burden on the team.
Qualifications
- BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field.
- Advanced proficiency in SQL and a statistical programming language such as Python and/or R.
- 7+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
- Deep understanding of Generative AI and other evolving technologies to accelerate insights from multi-modal data.
- Expertise in experimental design and Multivariate/A-B testing.
- Strong background in optimization techniques, such as linear programming, integer programming, constraint optimization, and simulation modeling.
- Experience building and deploying operational models for staffing, queue management, or dynamic resource allocation.
- Familiarity with customer success metrics and operational KPIs such as Net Promoter Score (NPS), Average Handle Time (AHT), First Contact Resolution (FCR), and agent utilization.
- Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit.
- Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
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:
- Bay Area California $194,000 - 262,500
- Southern California $185,500 - 251,000
See all 38+ Data Scientist at Intuit jobs
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Get Access To All JobsTips for Finding Data Scientist Jobs at Intuit Jobs
Tailor your portfolio to Intuit's products
Intuit's Data Scientist roles center on financial data, customer behavior modeling, and tax product personalization. Projects demonstrating ML applied to transactional data, recommendation systems, or fraud detection align directly with what hiring managers are evaluating.
Clarify sponsorship eligibility before applying
Intuit sponsors multiple visa types, including H-1B, E-3, and TN. Know which category applies to your citizenship before your recruiter screen. Australians targeting E-3 or Canadians using TN should confirm the role qualifies as a specialty occupation at the offer stage.
Highlight cross-functional collaboration experience
Intuit's Data Scientist interviews test both technical depth and ability to translate analysis into product decisions. Demonstrating experience working alongside engineers, product managers, or growth teams directly reflects how these roles operate inside their business units.
Use Migrate Mate to filter open roles by sponsorship
Intuit posts Data Scientist openings across multiple business units with varying sponsorship terms. Use Migrate Mate to surface roles that explicitly support your visa category and avoid wasting applications on positions where sponsorship is unavailable.
Protect your OPT or grace period timeline
If you're on F-1 OPT, Intuit can support CPT and post-completion OPT. STEM OPT extensions give you up to 24 additional months, but your employer must be E-Verify enrolled. Confirm Intuit's participation before your standard OPT expiration to avoid a gap in work authorization.
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Find Data Scientist at Intuit JobsFrequently Asked Questions
Does Intuit sponsor H-1B visas for Data Scientists?
Yes, Intuit sponsors H-1B visas for Data Scientist roles. The H-1B is a specialty occupation visa that requires a bachelor's degree or higher in a directly related field, which Data Scientist positions typically satisfy. Because the H-1B is subject to an annual cap and lottery, timing your application cycle and confirming the role qualifies before accepting an offer is important.
How do I apply for Data Scientist jobs at Intuit?
Applications go through Intuit's careers portal, where roles are listed by business unit, including TurboTax, QuickBooks, Mint, and Credit Karma. Before applying, confirm the posting explicitly mentions visa sponsorship or verify with the recruiter early in the process. Migrate Mate lets you browse Intuit's open Data Scientist roles filtered by visa sponsorship availability, which saves time when multiple openings are live simultaneously.
Which visa types does Intuit commonly use for Data Scientist roles?
Intuit sponsors H-1B, E-3, TN, and EB-2 or EB-3 Green Card pathways for Data Scientists, along with F-1 OPT and CPT for students. Australian citizens frequently use the E-3, which has no lottery and faster timelines. Canadian and Mexican nationals with qualifying credentials can pursue the TN classification. The right pathway depends on your citizenship, degree, and where you are in your career.
What qualifications does Intuit expect for Data Scientist roles?
Most Data Scientist postings at Intuit require a bachelor's or master's degree in statistics, computer science, mathematics, or a closely related field, along with hands-on experience in Python, SQL, and machine learning frameworks. Senior roles typically expect experience with large-scale data pipelines, A/B testing, and causal inference. A portfolio with applied work on financial data, customer segmentation, or predictive modeling strengthens your candidacy significantly.
How do I time the visa filing process when starting at Intuit?
For H-1B transfers or cap-exempt filings, USCIS standard processing can take two to four months. Premium processing reduces this to 15 business days. For E-3, consular processing in Australia typically takes two to six weeks after the LCA is certified by the DOL. Align your offer acceptance and intended start date with these timelines so your authorization is in place before your first day.
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