Data Science Director Jobs in USA with Visa Sponsorship
Data Science Director roles regularly come with H-1B visa, O-1 visa, and EB-1/EB-2 sponsorship because the position requires a specialized graduate degree and demonstrable research or leadership output that satisfies both specialty occupation and extraordinary ability standards. For detailed occupation requirements, see the O*NET profile.
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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.
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Get Access To All JobsTips for Finding Data Science Director Jobs
Lead with publications and patents
Directors with published research, patents, or conference presentations have a measurable edge in O-1A and EB-1A petitions. Compile a clear record of citations and recognitions before approaching employers about sponsorship.
Target companies with established sponsorship pipelines
Large technology, finance, and healthcare organizations sponsor Data Science Directors regularly and have internal immigration counsel. These employers move faster and make fewer procedural errors than companies sponsoring for the first time.
Align your degree field to the role description
H-1B approval for Director-level data science roles depends on matching your degree field to the job. Statistics, computer science, mathematics, and applied machine learning degrees map cleanly. Unrelated fields require strong experience equivalency documentation.
Request a National Interest Waiver evaluation early
Directors whose work influences public health, infrastructure, or national security outcomes may qualify for an NIW under EB-2. Ask an immigration attorney to assess eligibility before accepting an offer that assumes standard PERM sponsorship.
Document your supervisory and strategic scope
USCIS distinguishes hands-on analyst roles from director-level positions by scope of authority. Offer letters and job descriptions should specify budget control, team size, and organizational reporting structure to strengthen the specialty occupation argument.
Plan around H-1B cap timing if you are not cap-exempt
If you are outside the U.S. or on an expiring non-cap-exempt status, H-1B registration opens in March for an October start. Cap-exempt employers, including universities and nonprofits, can file at any time.
Frequently Asked Questions
Do employers commonly sponsor H-1B visas for Data Science Director roles?
Yes. Data Science Director is consistently among the most sponsored H-1B visa job titles. The role qualifies as a specialty occupation because it requires at minimum a bachelor's degree in a directly related field such as computer science, statistics, or mathematics, and most employers expect a master's or PhD. Large technology and financial services companies file hundreds of petitions annually for this title.
Can I qualify for an O-1A visa as a Data Science Director?
Many Data Science Directors meet O-1A criteria without realizing it. Published research with citations, peer review work, conference presentations, patents, or a record of commanding above-industry-average compensation can each satisfy individual O-1A criteria. You need to meet at least three of eight categories. An O-1A has no annual cap and no lottery, making it a strong alternative if you missed the H-1B cycle.
What degree do I need for a Data Science Director H-1B petition to be approved?
USCIS requires a bachelor's degree or higher in a field directly related to the job. For Data Science Director, computer science, statistics, applied mathematics, and data engineering are the clearest fits. Degrees in business or economics may work if paired with significant quantitative coursework. A three-year Australian or Indian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree when combined with relevant experience.
How do I find Data Science Director jobs that offer visa sponsorship?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse Data Science Director openings from employers already willing to sponsor H-1B or other work visas. This removes the guesswork of cold-applying and finding out late in the process that a company won't support a petition.
Is PERM labor certification required for a Data Science Director green card, or are there faster paths?
PERM is the standard EB-2 or EB-3 route and can take two to four years before a visa number becomes current, longer for Indian and Chinese nationals. Directors with substantial peer-recognized contributions may skip PERM entirely through the EB-1A extraordinary ability category or the EB-2 National Interest Waiver, both of which allow self-petition without employer involvement. An immigration attorney can assess which path fits your publication and leadership record.
What is the prevailing wage requirement for sponsored Data Science Director jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.