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 (GBSG) Data Science has an exciting opportunity to be part of the fast-growing Mid-market Data Science team that plays a critical role in driving growth with a long-term winning strategy. Disrupting the small business mid-market is one of Intuit's 3 Big Bets initiatives. We are looking for a Senior Staff Data Scientist to serve as an analytical leader and strategic thought partner for our Mid-market Product Growth initiatives.
This is a high-impact individual contributor role where you will set the analytics and measurement vision, raise the scientific bar, and influence product and business strategy for the mid-market segment. You will partner closely with senior leaders across Product, Customer Success, Marketing, Engineering, and Design to identify the biggest growth opportunities across the end-to-end customer journey—from acquisition and activation to habit formation and long-term retention.
Intuit has embraced a hybrid working model and this role will be based out of our Mountain View office 3 days per week.
Responsibilities
- Influence Product Strategy: Serve as a strategic thought partner to senior Product and Business leaders (up to EVP-level). Influence product strategy by conducting deep-dive analyses on customer segmentation, funnel optimization, product adoption, and voice of the customer.
- Set the Analytics Vision: Establish the measurement architecture, key success metrics, and leading indicators used to evaluate the health and growth of the Mid-market product ecosystem.
- Lead Experimentation & Causal Measurement: Drive an iterative experimentation culture by designing complex experiments (A/B/n, multi-armed bandits) and applying causal inference methodologies (e.g., Propensity Score Matching, Difference-in-Differences) where traditional A/B testing is limited.
- Shape the AI-Native Roadmap: Develop ML models and LLM applications to address complex product problems. Partner with product and engineering teams to integrate intelligent personalization, lead scoring, and generative AI features into the customer experience.
- Uncover Growth Opportunities: Use first-principles thinking and data mining to proactively explore and identify new business opportunities across the funnel, quantifying potential impact to guide investment prioritization.
- Raise the Scientific Bar & Mentorship: Create reusable analytical frameworks, methodologies, and tools that improve decision-making at scale. Coach, mentor, and elevate junior data scientists on the team while remaining hands-on with the highest-leverage problems.
- Serve as a tech team lead and supervise a team of 3-5 senior to staff data scientists.
Qualifications
- Experience: 8+ years of experience in data science, product analytics, or related fields, with a proven track record of driving strategy and measurable business impact. Experience in B2B SaaS or fintech is highly preferred.
- Technical Mastery: Highly proficient in AI-native data science tech stack (Claude/Cursor/Codex + MCPs/CLIs/APIs). Expert-level proficiency in SQL and Complex Data Modeling. Advanced practical experience applying machine learning (classification, regression, ranking) and LLMs / GenAI workflows to real-world product problems.
- Experimentation Rigor: Deep expertise in experimentation, causal inference, and advanced customer segmentation, with the judgment to balance statistical rigor with business realities.
- First-Principles Problem Solving: Demonstrated ability to translate ambiguous business strategies into clear analytical frameworks and actionable product decisions.
- Executive Communication: Exceptional storytelling and stakeholder influence skills, with the ability to communicate complex data concepts effectively to non-technical audiences and senior executives.
- Education: Minimum Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, or related).
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. 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 (GBSG) Data Science has an exciting opportunity to be part of the fast-growing Mid-market Data Science team that plays a critical role in driving growth with a long-term winning strategy. Disrupting the small business mid-market is one of Intuit's 3 Big Bets initiatives. We are looking for a Senior Staff Data Scientist to serve as an analytical leader and strategic thought partner for our Mid-market Product Growth initiatives.
This is a high-impact individual contributor role where you will set the analytics and measurement vision, raise the scientific bar, and influence product and business strategy for the mid-market segment. You will partner closely with senior leaders across Product, Customer Success, Marketing, Engineering, and Design to identify the biggest growth opportunities across the end-to-end customer journey—from acquisition and activation to habit formation and long-term retention.
Intuit has embraced a hybrid working model and this role will be based out of our Mountain View office 3 days per week.
Responsibilities
- Influence Product Strategy: Serve as a strategic thought partner to senior Product and Business leaders (up to EVP-level). Influence product strategy by conducting deep-dive analyses on customer segmentation, funnel optimization, product adoption, and voice of the customer.
- Set the Analytics Vision: Establish the measurement architecture, key success metrics, and leading indicators used to evaluate the health and growth of the Mid-market product ecosystem.
- Lead Experimentation & Causal Measurement: Drive an iterative experimentation culture by designing complex experiments (A/B/n, multi-armed bandits) and applying causal inference methodologies (e.g., Propensity Score Matching, Difference-in-Differences) where traditional A/B testing is limited.
- Shape the AI-Native Roadmap: Develop ML models and LLM applications to address complex product problems. Partner with product and engineering teams to integrate intelligent personalization, lead scoring, and generative AI features into the customer experience.
- Uncover Growth Opportunities: Use first-principles thinking and data mining to proactively explore and identify new business opportunities across the funnel, quantifying potential impact to guide investment prioritization.
- Raise the Scientific Bar & Mentorship: Create reusable analytical frameworks, methodologies, and tools that improve decision-making at scale. Coach, mentor, and elevate junior data scientists on the team while remaining hands-on with the highest-leverage problems.
- Serve as a tech team lead and supervise a team of 3-5 senior to staff data scientists.
Qualifications
- Experience: 8+ years of experience in data science, product analytics, or related fields, with a proven track record of driving strategy and measurable business impact. Experience in B2B SaaS or fintech is highly preferred.
- Technical Mastery: Highly proficient in AI-native data science tech stack (Claude/Cursor/Codex + MCPs/CLIs/APIs). Expert-level proficiency in SQL and Complex Data Modeling. Advanced practical experience applying machine learning (classification, regression, ranking) and LLMs / GenAI workflows to real-world product problems.
- Experimentation Rigor: Deep expertise in experimentation, causal inference, and advanced customer segmentation, with the judgment to balance statistical rigor with business realities.
- First-Principles Problem Solving: Demonstrated ability to translate ambiguous business strategies into clear analytical frameworks and actionable product decisions.
- Executive Communication: Exceptional storytelling and stakeholder influence skills, with the ability to communicate complex data concepts effectively to non-technical audiences and senior executives.
- Education: Minimum Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, or related).
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. 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 167+ E-3 Visa Senior Staff Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Senior Staff Data Scientist Jobs.
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.