AI Data Engineer Jobs at Intuit with Visa Sponsorship
AI Data Engineer jobs at Intuit span ML pipelines, data infrastructure, and AI-driven product features across the company's consumer and small business platforms. The company has a consistent track record of sponsoring work visas for technical talent, making it a realistic target if you need sponsorship.
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Intuit Global Business Solutions Group Data Science team has an exciting opportunity to be part of the fast-growing GBSG Science team that plays a critical role in driving growth in GBSG with a long-term winning strategy.
The GBSG Data Science team is responsible for (1) providing valuable insights that supports the development of E2E strategy, operational plans and product roadmaps; (2) providing data/tools/actionable insights/experimentation for the execution of multiple GBSG priorities across our function domains (Product, Marketing, Sales, Customer Success, Finance), developing/managing the success KPIs and reporting as the single source of the truth for how the GBSG is doing; (3) Develop advanced Data Science capabilities such as product recommendation and lead scoring models.
We are looking for a Senior Staff Data Scientist, who is intellectually curious and extremely self-driven, with a proven track record of leading data science support for critical or high-growth business areas. The ideal candidate will also have a passion for operationalizing data-driven insights into action through influencing the velocity and quality of learnings, while demonstrating a problem-solving and extreme ownership mindset.
Responsibilities
- Influence strategic business decisions and operational decisions by conducting customer segmentation and profiling, product analytics, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc.
- Develop and manage key success metrics and leading indicators for providing holistic understanding of how the business is performing and whether each initiative/program is delivering the desired outcomes.
- Proactively explore and identify new business opportunities to help business partners to achieve business goals.
- Communicate data and insights effectively to business partners of all levels including the senior leadership team.
- Develop ML models and LLM applications to address business problems.
- Collaborate with data scientists and data engineers across different analytics teams to work on cross-functional projects or develop analytics capabilities.
- Coach and develop junior data scientists on the team.
Qualifications
- 10+ years of experience working in web, product, customer/care, strategy, sales, marketing, CRM or other related analytics fields. Experience in B2B industry is a plus.
- Highly proficient in SQL, Python and data visualization tools such as Tableau.
- Multiple years of experience in applying advanced analytics techniques such as python, ML models, LLMs, etc., is highly preferred.
- Ability to create analytical frameworks for solving complex business problems with a proven track record.
- Ability to manage multiple projects simultaneously to meet objectives.
- Outstanding communications skills with both technical and non-technical. Be able to communicate effectively with senior executives.
- Minimum Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field.
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:
Mountain View $210,500 - $284,500
Overview
Intuit Global Business Solutions Group Data Science team has an exciting opportunity to be part of the fast-growing GBSG Science team that plays a critical role in driving growth in GBSG with a long-term winning strategy.
The GBSG Data Science team is responsible for (1) providing valuable insights that supports the development of E2E strategy, operational plans and product roadmaps; (2) providing data/tools/actionable insights/experimentation for the execution of multiple GBSG priorities across our function domains (Product, Marketing, Sales, Customer Success, Finance), developing/managing the success KPIs and reporting as the single source of the truth for how the GBSG is doing; (3) Develop advanced Data Science capabilities such as product recommendation and lead scoring models.
We are looking for a Senior Staff Data Scientist, who is intellectually curious and extremely self-driven, with a proven track record of leading data science support for critical or high-growth business areas. The ideal candidate will also have a passion for operationalizing data-driven insights into action through influencing the velocity and quality of learnings, while demonstrating a problem-solving and extreme ownership mindset.
Responsibilities
- Influence strategic business decisions and operational decisions by conducting customer segmentation and profiling, product analytics, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc.
- Develop and manage key success metrics and leading indicators for providing holistic understanding of how the business is performing and whether each initiative/program is delivering the desired outcomes.
- Proactively explore and identify new business opportunities to help business partners to achieve business goals.
- Communicate data and insights effectively to business partners of all levels including the senior leadership team.
- Develop ML models and LLM applications to address business problems.
- Collaborate with data scientists and data engineers across different analytics teams to work on cross-functional projects or develop analytics capabilities.
- Coach and develop junior data scientists on the team.
Qualifications
- 10+ years of experience working in web, product, customer/care, strategy, sales, marketing, CRM or other related analytics fields. Experience in B2B industry is a plus.
- Highly proficient in SQL, Python and data visualization tools such as Tableau.
- Multiple years of experience in applying advanced analytics techniques such as python, ML models, LLMs, etc., is highly preferred.
- Ability to create analytical frameworks for solving complex business problems with a proven track record.
- Ability to manage multiple projects simultaneously to meet objectives.
- Outstanding communications skills with both technical and non-technical. Be able to communicate effectively with senior executives.
- Minimum Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field.
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:
Mountain View $210,500 - $284,500
See all AI Data Engineer Jobs at Intuit
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Get Access To All JobsTips for Finding AI Data Engineer Jobs at Intuit
Align your portfolio to Intuit's AI stack
Intuit's AI work centers on financial data, natural language processing, and predictive modeling for products like TurboTax and QuickBooks. Tailor your GitHub projects and case studies to show experience with production ML pipelines and large-scale data systems, not just exploratory notebooks.
Target roles labeled AI or ML explicitly
Intuit posts AI Data Engineer roles separately from general data engineering positions. Applying to the right requisition matters because sponsorship eligibility and the hiring team's familiarity with visa workflows differ across departments.
Raise sponsorship requirements early in recruiter screens
Intuit's technical recruiting team handles sponsorship questions at the offer stage, but confirming upfront that the role supports your visa type saves weeks. Ask directly whether the position is eligible for H-1B transfer or new cap-subject filing.
Use Migrate Mate to identify active AI Data Engineer openings
Intuit's sponsorship-eligible roles don't always stay open long. Use Migrate Mate to filter current AI Data Engineer postings at Intuit by visa type so you're applying to live roles that already match your authorization needs.
Prepare degree equivalency documentation before the offer stage
USCIS requires a specialty occupation showing for H-1B petitions. If your AI or computer science degree is from outside the U.S., get a credential evaluation from a NACES-approved evaluator before Intuit's immigration counsel begins the I-129 process.
Understand Intuit's PERM timeline if you're targeting permanent residence
For EB-2 or EB-3 sponsorship, DOL's PERM labor certification typically takes 12 to 18 months before the I-140 petition stage. Confirm during negotiations whether Intuit initiates PERM for AI Data Engineer roles and at what career level.
Frequently Asked Questions
Does Intuit sponsor H-1B visas for AI Data Engineers?
Yes, Intuit sponsors H-1B visas for AI Data Engineer roles. The company works with immigration counsel to file both cap-subject petitions and H-1B transfers for candidates already holding H-1B status. Sponsorship is typically initiated after an offer is extended, so confirming your visa needs early in the process with the recruiter avoids delays at the offer stage.
How do I apply for AI Data Engineer jobs at Intuit?
Apply directly through Intuit's careers site or use Migrate Mate to filter AI Data Engineer openings at Intuit by visa sponsorship type. Before applying, align your resume to Intuit's documented technical priorities, including ML pipeline development, large-scale data infrastructure, and AI feature work tied to financial products. Tailor your application to the specific product area the role supports.
Which visa types does Intuit commonly sponsor for AI Data Engineer roles?
Intuit sponsors a range of visa categories for AI Data Engineers, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, and F-1 OPT and CPT for students nearing graduation. For longer-term permanent residence, Intuit also supports EB-2 and EB-3 Green Card sponsorship through the PERM labor certification process for qualifying employees.
What qualifications does Intuit expect for AI Data Engineer candidates?
Intuit typically looks for a bachelor's or master's degree in computer science, data engineering, statistics, or a related field. Hands-on experience with distributed data systems, ML model deployment, and cloud infrastructure is expected. For USCIS H-1B specialty occupation purposes, the degree field should align directly with the technical scope of the role, not just the job title.
How long does the visa sponsorship process take once Intuit extends an offer?
For H-1B cap-subject filings, Intuit must submit the petition during the April filing window for an October 1 start date. If you already hold H-1B status with another employer, a transfer can allow you to start within two to three weeks of filing under portability rules. E-3 and TN processing through a U.S. consulate typically runs faster, often within a few weeks of filing.