Green Card Data Science Manager Jobs
Data Science Manager roles qualify for EB-2 sponsorship when the position requires an advanced degree in statistics, computer science, or a related field, and for EB-3 when a bachelor's degree suffices. Employers file a PERM labor certification with DOL before petitioning USCIS, making early sponsorship conversations essential.
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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 Green Card Sponsorship as a Data Science Manager
Align your credentials with PERM requirements
Your degree field must match the job description the employer submits to DOL. A master's in applied mathematics supports EB-2 classification; a bachelor's in computer science typically supports EB-3. Misalignment between your credential and the filed job duties is a common audit trigger.
Target employers with active PERM filing history
Search the DOL OFLC disclosure data for companies that have filed PERM applications for data science management roles. Firms with repeated filings have established internal processes, which shortens your path from offer to approved petition significantly.
Use Migrate Mate to filter sponsoring employers
Filter your Data Science Manager job search on Migrate Mate to surface employers with documented green card sponsorship activity. This removes the guesswork of cold-applying to companies that lack PERM infrastructure for senior data roles.
Clarify the EB-2 NIW option before accepting offers
If your data science work has national-scale impact, you may self-petition under the National Interest Waiver without an employer's PERM filing. Confirm with the hiring team early whether they'll sponsor PERM or whether you'll pursue NIW independently, since both affect your timeline.
Request a prevailing wage review before negotiating salary
Your employer must certify your offered wage meets DOL's prevailing wage for the specific SOC code assigned to your Data Science Manager role. Use the OFLC Wage Search to verify the wage level for your metro area before finalizing your offer letter.
Account for PERM recruitment timing in your start date
DOL requires employers to complete a supervised recruitment process before filing PERM, typically spanning 30 to 60 days of advertising. Build this window into your expected start date so the employer's attorney isn't rushing the audit documentation under deadline pressure.
Green Card Data Science Manager: Frequently Asked Questions
Does a Data Science Manager role typically qualify for EB-2 or EB-3 sponsorship?
Most Data Science Manager positions qualify for EB-2 because employers routinely require a master's degree or a bachelor's degree plus substantial progressive experience in a quantitative field. If the employer's minimum requirement is a bachelor's degree with no advanced degree preference stated, the role falls into EB-3. The distinction matters because EB-2 often moves faster through USCIS adjudication for nationals from countries without significant backlogs.
How does green card sponsorship differ from H-1B sponsorship for this role?
H-1B visa is a temporary work visa subject to an annual cap and lottery. A PERM-based green card has no annual filing cap, and EB-3 remains accessible even when EB-2 backlogs develop for certain nationalities. The green card process is permanent residency, not a renewable status, so there's no expiration risk once you're approved. The trade-off is timeline: PERM and I-140 together typically take one to two years before you reach adjustment of status.
What does the PERM process actually require from a Data Science Manager employer?
The employer must conduct a DOL-supervised recruitment campaign to demonstrate no qualified U.S. workers are available for the role. This includes posting in specific venues, documenting rejections, and retaining records for five years. The employer then submits the ETA Form 9089 to DOL. Analyst review times at OFLC vary, so employers should file PERM well before your current work authorization expires.
How can I find Data Science Manager jobs where the employer already sponsors green cards?
Use Migrate Mate to search Data Science Manager openings filtered by employers with verified green card sponsorship history. This is more reliable than asking during a cold application, because you're targeting companies that have already navigated PERM for comparable roles. It saves weeks of back-and-forth with recruiters who aren't familiar with their own company's immigration policy.
Can I switch employers after my I-140 is approved but before my green card is issued?
Yes. Under AC21 portability, once your I-140 has been approved and your adjustment of status application has been pending for at least 180 days, you can change employers as long as the new role is in the same or a similar occupational classification. For Data Science Manager roles, the SOC code used in your original PERM filing is the benchmark. Document the similarity carefully to avoid issues during final adjudication.