Scientist Jobs at Intuit with Visa Sponsorship
Scientist roles 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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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
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Get Access To All JobsTips for Finding Scientist Jobs at Intuit Jobs
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.
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 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.
Scientist at Intuit jobs are hiring across the US. Find yours.
Find Scientist at Intuit JobsFrequently 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 (for Australian citizens), TN (for Canadian and Mexican nationals), F-1 OPT and CPT, J-1, 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.
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