E-3 Visa Data Science Director Jobs
Data Science Director roles qualify as E-3 specialty occupations, requiring a bachelor's degree or higher in a quantitative field. Australian nationals can secure E-3 visa sponsorship without competing in the H-1B lottery, with no annual cap limiting availability and two-year renewals tied to continued employment.
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Get Access To All JobsINTRODUCTION
We’re looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.
ABOUT THE ROLE
People leadership: You will inspire, lead and grow a world-class team.
Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
DATA SCIENCE DIRECTOR RESPONSIBILITIES:
- Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
- Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
- Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
- Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
MINIMUM QUALIFICATIONS:
- 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
- Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds.
- Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
- Intellectual curiosity, drive, and decisiveness with ambiguous and complex environments.
- Experience working effectively with multiple stakeholders and cross-functionally.
- Effective communication skills.
PREFERRED QUALIFICATIONS:
- Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
ABOUT META:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
INTRODUCTION
We’re looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.
ABOUT THE ROLE
People leadership: You will inspire, lead and grow a world-class team.
Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
DATA SCIENCE DIRECTOR RESPONSIBILITIES:
- Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
- Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
- Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
- Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
MINIMUM QUALIFICATIONS:
- 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
- Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds.
- Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
- Intellectual curiosity, drive, and decisiveness with ambiguous and complex environments.
- Experience working effectively with multiple stakeholders and cross-functionally.
- Effective communication skills.
PREFERRED QUALIFICATIONS:
- Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
ABOUT META:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
See all 199+ E-3 Visa Data Science Director Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Data Science Director
Translate your Australian credentials for U.S. employers
A three-year Australian bachelor's degree in statistics, computer science, or a related field is generally accepted as equivalent to a U.S. four-year degree for E-3 visa specialty occupation purposes. Have a credential evaluation ready before interviews begin.
Target employers with prior LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data to identify companies that have previously certified LCAs for data science roles. Prior LCA activity signals that the employer understands the E-3 process and won't stall at the sponsorship conversation.
Clarify director-level scope to satisfy specialty occupation
E-3 requires the role to theoretically and practically require a degree in a specific specialty. For Data Science Director positions, ensure the job description explicitly requires a quantitative degree, not just management experience, so the DOL certifies the LCA without complications.
Raise E-3 sponsorship early in offer negotiations
Many U.S. employers conflate E-3 with H-1B and assume a costly lottery process. Clarifying that the E-3 has no lottery, no cap, and requires only an LCA and consulate appointment removes the most common objection before it becomes a dealbreaker.
Use Migrate Mate's E-3 filing service for the LCA and consulate prep
Once you have a job offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. This avoids the coordination errors that typically delay director-level filings where job duties span multiple teams or cost centers.
Account for consulate appointment timing in your start date
After your LCA is certified, you still need a Sydney, Melbourne, or Perth consulate appointment before entering the U.S. Build at least four to six weeks between offer acceptance and your proposed start date so appointment availability doesn't create a breach of your employment contract.
E-3 Visa Data Science Director: Frequently Asked Questions
How do I find Data Science Director jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. It filters for employers who understand the E-3 process, so you're not spending time on applications where the hiring team has never heard of the visa. Director-level data science roles appear most frequently in tech, finance, and healthcare sectors.
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.
Is a Data Science Director role considered a specialty occupation for E-3 purposes?
Yes, provided the position requires a bachelor's degree or higher in a specific quantitative discipline such as statistics, computer science, mathematics, or data science. The job description must make that degree requirement explicit, not merely preferred. Roles framed around general management without a specific degree requirement can face LCA certification pushback from the DOL.
How does the E-3 visa compare to H-1B for a Data Science Director role?
The E-3 is available only to Australian nationals, but that exclusivity is an advantage: there's no lottery, no annual cap, and no registration fee. H-1B requires surviving a randomised lottery with roughly a 25 percent selection rate. For a director-level hire, an employer can file your E-3 LCA and proceed directly to a consulate appointment rather than waiting up to a year for an H-1B start date.
Can I change employers or roles after starting on an E-3?
Yes, but each new employer must file a fresh LCA and you'll typically need a new visa stamp if your role or employer changes materially. If you're already in the U.S., a change of employer doesn't require you to leave the country, but you must not begin work for the new employer until the new LCA is certified and your status is properly updated.