Data Scientist Jobs at Intuit with Visa Sponsorship
Data Scientist jobs at Intuit span its financial technology products, including TurboTax, QuickBooks, and Credit Karma, where professionals work 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 visa, E-3 visa, and other pathways.
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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 Data Scientist Jobs at Intuit
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Get Access To All JobsTips for Finding Data Scientist Jobs at Intuit
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.
Account for LCA filing in your start date
Before USCIS can adjudicate an H-1B or E-3 petition, your employer must file a certified Labor Condition Application with the DOL. Build at least two to three weeks into your expected start date to allow for LCA certification before the I-129 is filed.
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.
Frequently 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 visa, 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 visa 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.