Data Science Manager Jobs in USA with Visa Sponsorship
Data Science Manager positions frequently qualify for H-1B visa, O-1 visa, and EB-2 visa sponsorship due to the advanced statistical modeling, machine learning expertise, and team leadership requirements. Most roles require a master's degree in data science, statistics, computer science, or related quantitative field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world. You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of an analytics community dedicated to skill development and career growth in analytics and beyond.
ABOUT THE ROLE
Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.
Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied 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 leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.
DATA SCIENCE MANAGER, ANALYTICS RESPONSIBILITIES:
- Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
- Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
- Influence product direction through clear and compelling presentations to leadership
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
- Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
- Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
MINIMUM QUALIFICATIONS:
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
- Experience initiating and completing analytical projects with minimal guidance
- 4+ years of work experience (2+ years with a Ph.D.) in applied analytics, including 2+ years of experience managing analytics teams
- Experience communicating results of analysis to leadership
- Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta
PREFERRED QUALIFICATIONS:
- Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
- Proven track record of leading high-performing analytics teams
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience working in technology, consulting, or finance
- 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)
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
- $177,000/year to $247,000/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
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world. You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of an analytics community dedicated to skill development and career growth in analytics and beyond.
ABOUT THE ROLE
Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.
Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied 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 leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.
DATA SCIENCE MANAGER, ANALYTICS RESPONSIBILITIES:
- Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
- Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
- Influence product direction through clear and compelling presentations to leadership
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
- Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
- Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
MINIMUM QUALIFICATIONS:
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
- Experience initiating and completing analytical projects with minimal guidance
- 4+ years of work experience (2+ years with a Ph.D.) in applied analytics, including 2+ years of experience managing analytics teams
- Experience communicating results of analysis to leadership
- Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta
PREFERRED QUALIFICATIONS:
- Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
- Proven track record of leading high-performing analytics teams
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience working in technology, consulting, or finance
- 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)
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
- $177,000/year to $247,000/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 Visa Sponsorship as a Data Science Manager
Emphasize advanced analytics leadership
Highlight experience managing data science teams, implementing ML pipelines, and driving strategic decisions through predictive modeling to demonstrate the specialized management skills that justify visa sponsorship.
Document quantitative impact metrics
Present specific examples of revenue increases, cost savings, or efficiency gains from your data science initiatives to show measurable business value that supports your sponsorship case.
Target tech companies and consulting firms
Focus on employers like Google, Microsoft, McKinsey, or Deloitte that regularly sponsor visas for senior data roles and understand the strategic value of data science leadership.
Highlight cross-functional collaboration skills
Emphasize experience translating complex analytics into business insights for executives and coordinating with product, engineering, and marketing teams to demonstrate your unique management capabilities.
Showcase advanced technical expertise
Document proficiency in specialized tools like TensorFlow, PyTorch, cloud platforms, and statistical programming languages that require years of training and aren't easily replaceable domestically.
Consider the EB-2 pathway early
Data Science Manager roles often qualify for EB-2 green cards due to the advanced degree requirement and national interest potential, making it worth discussing with sponsors.
Frequently Asked Questions
Do Data Science Manager roles typically get H-1B sponsorship?
Yes, Data Science Manager positions regularly receive H-1B visa sponsorship because they require specialized knowledge in statistical modeling, machine learning algorithms, and advanced analytics that qualifies as a specialty occupation. The combination of technical expertise and management responsibilities makes these roles strong sponsorship candidates.
How to find Data Science Manager jobs with visa sponsorship?
To find Data Science Manager positions with visa sponsorship, use Migrate Mate, which specializes in connecting international candidates with sponsoring employers. Focus on tech companies, financial services, and healthcare organizations that frequently sponsor H-1B and O-1 visas for senior data science roles. These industries actively seek experienced managers who can lead analytics teams and drive data-driven decision making across their organizations.
What degree do I need for Data Science Manager visa sponsorship?
Most employers require a master's degree in data science, statistics, computer science, mathematics, or a related quantitative field. Some accept a bachelor's degree with significant additional experience, but the master's requirement is increasingly common and strengthens your sponsorship case significantly.
Can I qualify for an O-1 visa as a Data Science Manager?
Data Science Managers can qualify for O-1 visas if they have extraordinary achievements like published research in top journals, patents, speaking at major conferences, or leading groundbreaking projects at recognized companies. The role alone isn't enough, you need documented exceptional accomplishments.
Which companies sponsor Data Science Managers most frequently?
Large tech companies (Google, Amazon, Microsoft), consulting firms (McKinsey, Deloitte, BCG), financial institutions (Goldman Sachs, JPMorgan), and healthcare companies (UnitedHealth, Anthem) sponsor Data Science Manager roles regularly. These employers understand the strategic value and have established sponsorship processes.
How does team size affect my sponsorship chances?
Managing larger data science teams generally strengthens your sponsorship case by demonstrating senior-level responsibilities that are harder to fill domestically. However, even managers of small teams can qualify if the technical complexity and business impact of your work is significant enough.
What is the prevailing wage requirement for sponsored Data Science Manager 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.