H-1B Visa Data Science Director Jobs
Data Science Director roles qualify as H-1B visa specialty occupations, requiring at least a bachelor's degree in a directly related field. Employers file the LCA with the DOL before sponsoring your H-1B petition. The annual cap and lottery apply unless your employer is cap-exempt.
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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 H-1B Visa Sponsorship in Data Science Director
Benchmark your prevailing wage before negotiating
Look up the SOC code for Data Science Directors using the OFLC Wage Search before your offer stage. Your employer's LCA must certify a wage at or above the prevailing wage for your location and experience level.
Target cap-exempt employers strategically
Universities, nonprofit research organizations, and government entities are exempt from the H-1B lottery. Data Science Director roles at these institutions can be filed any time of year, bypassing the April registration window entirely.
Document your specialty occupation case thoroughly
Director-level data science roles sometimes draw RFEs questioning whether a specific degree field is required. Collect job postings, internal org charts, and your employer's written justification linking your degree field directly to the role's core responsibilities.
Search Migrate Mate to identify active H-1B sponsors
Filter by Data Science Director roles on Migrate Mate to see which employers have LCA filing history for this title. This lets you prioritize companies with a demonstrated track record of sponsoring H-1B petitions for senior data leadership positions.
Confirm your employer's E-Verify enrollment before accepting
H-1B sponsors must be enrolled in E-Verify. Ask HR to confirm enrollment status before you resign from your current role. A sponsor who isn't enrolled cannot legally file your H-1B petition, and onboarding delays can affect your status.
Plan your I-129 filing timeline around the lottery
USCIS opens H-1B registration in March for an October 1 start date. If you're selected, your employer has until June to file the full I-129 petition. Confirm your employer's internal legal timeline well before the registration window opens.
H-1B Visa Data Science Director: Frequently Asked Questions
Does a Data Science Director role qualify as an H-1B specialty occupation?
Yes. A Data Science Director role qualifies because it typically requires at least a bachelor's degree in statistics, computer science, mathematics, or a related field as a normal requirement for entry. USCIS evaluates specialty occupation based on the actual duties and the degree requirement, not just the job title. Director-level roles with strategic and technical responsibilities generally satisfy this standard, though your employer may need to document why a specific degree field is required.
Which employers sponsor H-1B visas for Data Science Director positions?
Large technology companies, financial services firms, healthcare systems, and enterprise software companies regularly sponsor H-1B visas for senior data science leadership roles. Cap-exempt employers like research universities and nonprofits affiliated with higher education also hire at the director level. Migrate Mate surfaces employers with verified LCA filing history for Data Science Director titles, so you can identify active sponsors without manual DOL database searches.
Can I transfer my H-1B to a new employer for a Data Science Director role?
Yes. Under H-1B portability, you can start working for a new employer as soon as they file a transfer petition with USCIS, without waiting for approval, as long as you've been in valid H-1B status and the petition is non-frivolous. Your new employer files a new I-129 and LCA specific to the Director role and your work location. You don't re-enter the lottery if you already hold H-1B status.
What is the prevailing wage requirement for a Data Science Director on H-1B?
Your employer's LCA must certify a wage at or above the prevailing wage for the Data Science Director SOC code in your specific metropolitan area. The DOL sets four wage levels; most Director roles are classified at Level III or IV. You can verify the applicable wage using the OFLC Wage Search before your offer stage to confirm whether a proposed salary meets the DOL threshold for your location.
Does a Data Science Director need a master's degree for H-1B approval?
A master's degree isn't required by law, but it can strengthen the specialty occupation case, particularly if your employer's other hires at this level hold advanced degrees. USCIS looks at the employer's own degree requirements, industry norms, and whether the role requires theoretical and practical application of highly specialized knowledge. The O*NET profile for this occupation and comparable job postings are commonly used as supporting evidence in the petition.