Data Science Manager Jobs in USA with Visa Sponsorship
Data Science Manager positions frequently qualify for H-1B visa, O-1, 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
Scale's Finance Analytics and Systems team is looking for a builder-oriented team member to help design and develop internal tools and AI agents that automate workflows across finance and accounting.
In this role, you will work closely with stakeholders across business finance, corporate finance, and accounting to understand their workflows and build systems that enable faster turnaround times with higher degrees of accuracy.
You will design data models, prototype internal tools, and implement agent-driven workflows using our internal data infrastructure, system integration tooling, Scale's proprietary AI platform as well as emerging AI tools.
We're looking for someone who enjoys solving complex problems, building systems from the ground up, and translating ambiguous business needs into scalable technical solutions, with strong attention to detail and a rigorous approach towards validating results.
KEY RESPONSIBILITIES
- Design and develop end-to-end agent-driven workflows that automate finance and accounting processes, and improve operational efficiency
- Build scalable data models and pipelines that serve as the foundation for analytics assets (e.g., dashboards), agentic workflows and system automations
- Partner with stakeholders across finance, accounting, and customer operations to translate business requirements into technical requirements and system designs
- Collaborate with engineering teams in the development of internal tools to improve Scale's financial system infrastructure
- Evangelize and support the adoption of AI-enabled automation across finance and accounting teams
BASIC QUALIFICATIONS
- 5+ years of experience in data analytics, analytics engineering, or data science roles (supporting finance teams is a plus)
- Expert knowledge of SQL and Python for data analysis and modeling
- Experience building internal tools, automation systems, or data products
- Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create foundational data models
- Experience partnering with engineering and business stakeholders to automate manual workflows
- Strong problem-solving skills and the ability to operate independently in a fast-paced environment
- Excellent communication skills and experience working cross-functionally with business stakeholders
- Familiarity with finance or accounting terminology
- Experience with BI tools such as Tableau, Metabase, or Looker
- Familiarity with JavaScript and modern automation tooling is a plus but not required
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
INTRODUCTION
Scale's Finance Analytics and Systems team is looking for a builder-oriented team member to help design and develop internal tools and AI agents that automate workflows across finance and accounting.
In this role, you will work closely with stakeholders across business finance, corporate finance, and accounting to understand their workflows and build systems that enable faster turnaround times with higher degrees of accuracy.
You will design data models, prototype internal tools, and implement agent-driven workflows using our internal data infrastructure, system integration tooling, Scale's proprietary AI platform as well as emerging AI tools.
We're looking for someone who enjoys solving complex problems, building systems from the ground up, and translating ambiguous business needs into scalable technical solutions, with strong attention to detail and a rigorous approach towards validating results.
KEY RESPONSIBILITIES
- Design and develop end-to-end agent-driven workflows that automate finance and accounting processes, and improve operational efficiency
- Build scalable data models and pipelines that serve as the foundation for analytics assets (e.g., dashboards), agentic workflows and system automations
- Partner with stakeholders across finance, accounting, and customer operations to translate business requirements into technical requirements and system designs
- Collaborate with engineering teams in the development of internal tools to improve Scale's financial system infrastructure
- Evangelize and support the adoption of AI-enabled automation across finance and accounting teams
BASIC QUALIFICATIONS
- 5+ years of experience in data analytics, analytics engineering, or data science roles (supporting finance teams is a plus)
- Expert knowledge of SQL and Python for data analysis and modeling
- Experience building internal tools, automation systems, or data products
- Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create foundational data models
- Experience partnering with engineering and business stakeholders to automate manual workflows
- Strong problem-solving skills and the ability to operate independently in a fast-paced environment
- Excellent communication skills and experience working cross-functionally with business stakeholders
- Familiarity with finance or accounting terminology
- Experience with BI tools such as Tableau, Metabase, or Looker
- Familiarity with JavaScript and modern automation tooling is a plus but not required
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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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.
Data Science Manager jobs are hiring across the US. Find yours.
Find Data Science Manager JobsFrequently Asked Questions
Do Data Science Manager roles typically get H-1B sponsorship?
Yes, Data Science Manager positions regularly receive H-1B 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.
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