E-3 Visa Senior Staff Data Scientist Jobs
Senior Staff Data Scientist roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree or higher in statistics, computer science, or a related quantitative field. Australian citizens can secure two-year renewable E-3 status with no lottery and no annual cap, making repeated sponsorship straightforward for long-term roles.
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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 215+ E-3 Visa Senior Staff Data Scientist Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Senior Staff Data Scientist
Frame your portfolio around U.S. specialty occupation standards
DOL requires your role to meet specialty occupation criteria. Structure your CV and portfolio to show the direct link between your quantitative degree and senior-level data science deliverables, not just tools used or team size managed.
Target employers with active LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data for companies that have filed LCAs for Staff Data Scientist or equivalent titles. Prior filings signal that the employer already understands the E-3 visa certification process.
Use Migrate Mate to filter verified E-3 sponsors
Use Migrate Mate to find Senior Staff Data Scientist roles at employers with confirmed E-3 sponsorship history. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork once you have an offer.
Clarify your Australian bachelor's degree equivalency early
A three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 purposes, but some consular officers request a credential evaluation. Obtain a NACES-member evaluation before your interview to avoid delays.
Negotiate LCA filing timing into your offer timeline
Your employer must file and receive a certified LCA from DOL before your consulate appointment. Typical DOL certification runs seven business days, but peak periods run longer. Build at least three weeks into your start-date negotiation to cover this.
Prepare for specialty occupation scrutiny at the consulate
Senior Staff Data Scientist roles can attract consular officer questions about whether the position genuinely requires a specific degree field. Bring your offer letter, job description, and degree documentation to demonstrate the direct academic-to-role connection.
E-3 Visa Senior Staff Data Scientist: Frequently Asked Questions
How do I find Senior Staff Data Scientist jobs with E-3 visa sponsorship?
Migrate Mate lists Senior Staff Data Scientist roles from employers with verified E-3 sponsorship history, so you're not cold-applying to companies that have never navigated the process. Filter by role and visa type to surface active openings where the employer already understands LCA filing and consulate requirements for Australian nationals.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Senior Staff Data Scientist role qualify as a specialty occupation for the E-3?
Yes. Senior Staff Data Scientist positions consistently qualify because DOL defines specialty occupation as work requiring at least a bachelor's degree in a specific field directly related to the duties. Roles at this seniority level typically require a degree in statistics, computer science, mathematics, or a closely related quantitative discipline, satisfying that requirement clearly.
How does the E-3 compare to the H-1B for a Senior Staff Data Scientist?
The E-3 has no annual lottery, no cap, and no registration fee, so your employer can file at any point in the year with near-certain access to the visa. The H-1B visa requires entering a lottery with roughly a 25% selection rate. For Australian nationals at the Staff Data Scientist level, the E-3 is the faster and more predictable path.
Can I switch employers or get promoted while on an E-3 as a data scientist?
You can change employers, but each new employer must file a new LCA and you'll need a new E-3 visa stamp reflecting the updated position. A promotion that materially changes your role title or duties may also require an updated LCA. Plan for two to four weeks of processing time when transitioning between roles or companies.