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
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord is where the world's gamers hang out, and increasingly, it's the platform game developers build on. We're seeking a Senior Data Science Manager to lead Data Science for our Developer Platform: the SDKs, identity systems, and developer tools that connect games and their players to Discord. What makes this role distinctive is the two-sided value equation at the heart of the platform. For game developers, we build tools that help studios grow player engagement and revenue, including data products that give them deeper insight into their players and communities. For players, we use signals from those same tools to make it easier to play and hang out with friends, deepen engagement across Discord, and deliver more relevant ads. Your team's job is to make both sides of that exchange demonstrably valuable. That means proving the platform's worth to developers with rigorous evidence, and ensuring the signals it generates create outsized, responsible value for Discord users. If helping make Discord an even better place to hang out with your friends and communities sounds like an exciting challenge - we'd love to chat with you!
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Manage, mentor, and develop a mission-driven team of Data Scientists embedded across the Developer Platform's core areas: identity, signals, and developer tools.
- Own the vision and roadmap for data-driven decision-making across the Developer Platform org, and shape company strategy on how the platform creates value for both developers and Discord.
- Strengthen the developer side of the value equation by shaping developer-facing data products, including metric definitions, benchmarking methodologies, and insight quality.
- Strengthen the Discord side of the value equation by partnering with Ads, Engagement, and Growth to identify, validate, and productize platform-derived signals, and by measuring their incremental value through experimentation.
- Drive platform adoption by partnering with Product, Engineering, and Business Development to measure integration health, forecast growth, and surface insights that help the org land and deepen integrations with the world's largest game developers.
- Serve as a trusted analytical partner to top game developers, designing joint studies with partner data science teams to uncover business value from the developer tech stack.
- Partner with Data Engineering, Product, and Legal on data governance: ensure platform signals are documented, discoverable, and governed well across Discord.
- Set clear priorities and nimble operating models, and build a team known for rigorous methods and decision-ready work.
- Partner with other Data leaders to shape the direction and culture of Discord's Data organization.
BASIC QUALIFICATIONS
What you should have:
- 8+ years of experience in applied data science and advanced analytics, ideally including both consumer product and B2B or platform contexts.
- 3+ years managing and developing teams of Data Scientists, with a track record of growing ICs and raising the team's technical bar.
- Strong expertise in experimentation and causal inference, including quasi-experimental methods (propensity matching, synthetic controls, diff-in-diff) for settings where randomized experiments aren't feasible.
- Experience designing novel, interpretable metrics for a new or fast-evolving product area, and building the measurement systems around them.
- Proficiency in SQL and at least one data programming language (Python or R).
- Clear communication and influence. You can translate complex technical work into crisp narratives for executives, engineers, and external partners, and use data to shape strategy and roadmaps alongside Product and Engineering leadership.
PREFERRED QUALIFICATIONS
Bonus points:
- Experience with gaming, game platforms, or developer-facing (B2B2C) products, especially working directly with external partners' data or analytics teams.
- Experience building or shaping customer-facing data products such as analytics dashboards, benchmarking tools, or measurement offerings.
- Familiarity with advertising signal ecosystems (event pipelines, identity resolution, targeting and measurement, lookalike modeling) and with ML applications for signal enrichment, forecasting, or personalization.
- Experience with cloud data platforms like BigQuery, very large datasets, and modern BI tools (e.g., Hex, Mode, Looker, Tableau).
- Understanding of data governance, privacy, and responsible data use, particularly for signals shared across product and revenue systems.
- Interest in Discord, gaming, and the communities we serve.
COMPENSATION
The US base salary range for this full-time position is $342,000 to $380,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
Why Discord?
Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!
Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.
Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.
INTRODUCTION
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord is where the world's gamers hang out, and increasingly, it's the platform game developers build on. We're seeking a Senior Data Science Manager to lead Data Science for our Developer Platform: the SDKs, identity systems, and developer tools that connect games and their players to Discord. What makes this role distinctive is the two-sided value equation at the heart of the platform. For game developers, we build tools that help studios grow player engagement and revenue, including data products that give them deeper insight into their players and communities. For players, we use signals from those same tools to make it easier to play and hang out with friends, deepen engagement across Discord, and deliver more relevant ads. Your team's job is to make both sides of that exchange demonstrably valuable. That means proving the platform's worth to developers with rigorous evidence, and ensuring the signals it generates create outsized, responsible value for Discord users. If helping make Discord an even better place to hang out with your friends and communities sounds like an exciting challenge - we'd love to chat with you!
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Manage, mentor, and develop a mission-driven team of Data Scientists embedded across the Developer Platform's core areas: identity, signals, and developer tools.
- Own the vision and roadmap for data-driven decision-making across the Developer Platform org, and shape company strategy on how the platform creates value for both developers and Discord.
- Strengthen the developer side of the value equation by shaping developer-facing data products, including metric definitions, benchmarking methodologies, and insight quality.
- Strengthen the Discord side of the value equation by partnering with Ads, Engagement, and Growth to identify, validate, and productize platform-derived signals, and by measuring their incremental value through experimentation.
- Drive platform adoption by partnering with Product, Engineering, and Business Development to measure integration health, forecast growth, and surface insights that help the org land and deepen integrations with the world's largest game developers.
- Serve as a trusted analytical partner to top game developers, designing joint studies with partner data science teams to uncover business value from the developer tech stack.
- Partner with Data Engineering, Product, and Legal on data governance: ensure platform signals are documented, discoverable, and governed well across Discord.
- Set clear priorities and nimble operating models, and build a team known for rigorous methods and decision-ready work.
- Partner with other Data leaders to shape the direction and culture of Discord's Data organization.
BASIC QUALIFICATIONS
What you should have:
- 8+ years of experience in applied data science and advanced analytics, ideally including both consumer product and B2B or platform contexts.
- 3+ years managing and developing teams of Data Scientists, with a track record of growing ICs and raising the team's technical bar.
- Strong expertise in experimentation and causal inference, including quasi-experimental methods (propensity matching, synthetic controls, diff-in-diff) for settings where randomized experiments aren't feasible.
- Experience designing novel, interpretable metrics for a new or fast-evolving product area, and building the measurement systems around them.
- Proficiency in SQL and at least one data programming language (Python or R).
- Clear communication and influence. You can translate complex technical work into crisp narratives for executives, engineers, and external partners, and use data to shape strategy and roadmaps alongside Product and Engineering leadership.
PREFERRED QUALIFICATIONS
Bonus points:
- Experience with gaming, game platforms, or developer-facing (B2B2C) products, especially working directly with external partners' data or analytics teams.
- Experience building or shaping customer-facing data products such as analytics dashboards, benchmarking tools, or measurement offerings.
- Familiarity with advertising signal ecosystems (event pipelines, identity resolution, targeting and measurement, lookalike modeling) and with ML applications for signal enrichment, forecasting, or personalization.
- Experience with cloud data platforms like BigQuery, very large datasets, and modern BI tools (e.g., Hex, Mode, Looker, Tableau).
- Understanding of data governance, privacy, and responsible data use, particularly for signals shared across product and revenue systems.
- Interest in Discord, gaming, and the communities we serve.
COMPENSATION
The US base salary range for this full-time position is $342,000 to $380,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
Why Discord?
Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!
Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.
Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.
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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.