Data Science Lead Visa Sponsorship Jobs in New York
Data science lead roles in New York attract strong visa sponsorship activity, particularly from financial services firms in Manhattan, tech companies in Midtown and Hudson Yards, and media and advertising platforms across the city. Major employers including JPMorgan Chase, Citigroup, Bloomberg, and large consulting firms regularly file H-1B visa petitions for senior data science positions.
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INTRODUCTION
The Center for Data Science (CDS) at New York University invites applications and nominations for the position of Department Chair. This appointment comes at a transformative juncture: CDS has recently been elevated to a full-fledged academic department within the newly established Courant Institute School of Mathematics, Computing, and Data Science.
As the focal point for NYU’s mission to advance the mathematical, statistical, and computational foundations of the field, the Center is entering a period of unprecedented expansion. Following its promotion to departmental status, CDS will be instrumental in reshaping Courant’s vision through this period of unprecedented change. The incoming Chair will serve as a foundational leader, holding a strategic mandate to drive growth, oversee faculty recruitment, and solidify the Center’s position at the global vanguard of data science and artificial intelligence.
The successful candidate will both carry out her/his forward-thinking research vision, and lead CDS’s vibrant research community dedicated to bridging deep methodological rigor with high-impact applications. This role offers a unique opportunity to shape the legacy of a premier academic department at one of the world’s leading research universities, fostering a culture of excellence that integrates the core disciplines of mathematics, statistics, and computer science to solve the complex challenges of the 21st century.
In compliance with NYC's Pay Transparency Act, the annual base salary range for the rank of Professor is $200K - $300K. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer. This position will provide additional compensation for serving as Chair of the Department.
BASIC QUALIFICATIONS
- PhD in a related field with a proven record of world-class research
Qualifications and Criteria
Strategic Leadership & Administration:
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Experience in Research Center Leadership: A proven track record of establishing, managing, or directing large-scale research initiatives or centers within either an academic or industrial setting (e.g., NSF AI Institutes, major industrial research labs, or equivalent).
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Departmental Growth & Scaling: Demonstrated success in guiding the expansion of an academic department or research unit, with specific experience in scaling operations, faculty recruitment, and resource management to support organizational growth.
Academic Vision & Institutional Alignment:
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Commitment to Core Identity: A demonstrated alignment with the department’s unique academic profile, specifically the convergence of rigorous foundations in mathematics, statistics, and computer science with broad, interdisciplinary application and collaboration.
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Vision for Interdisciplinary Excellence: An ability to articulate and execute a strategic vision that reinforces the department's position at the intersection of deep methodological research and cross-domain impact.
Operational Expertise & Funding:
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Knowledge of the U.S. Academic Landscape: Deep familiarity with the United States higher education system, including university governance structures, tenure and promotion processes, and administrative protocols.
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Research Funding Acumen: Extensive experience with U.S. funding ecosystems, including a track record of securing and managing grants from federal agencies (such as the NSF, NIH, DARPA) and industry partners.
Please follow the instructions to submit your application via Interfolio. Applications received by February 1, 2027, will receive full consideration.
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
Sustainability Statement
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
Data Science Lead Job Roles in New York
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Search Data Science Lead Jobs in New YorkData Science Lead Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for data science leads in New York?
Financial institutions such as JPMorgan Chase, Goldman Sachs, and Citigroup are among the most consistent H-1B sponsors for data science leads in New York. Technology firms including Google, Amazon, and IBM also maintain significant New York offices with active sponsorship histories. Bloomberg, McKinsey, and major advertising technology companies round out the employer pool for senior data science roles.
Which visa types are most common for data science lead roles in New York?
The H-1B is the most common visa for data science leads in New York, as the role typically requires a specialized bachelor's degree or higher in computer science, statistics, or a related field, meeting the specialty occupation standard. Candidates with extraordinary achievement may qualify for the O-1A. Australians may be eligible for the E-3 visa, and Canadian and Mexican nationals may qualify under TN visa status in a relevant professional category.
Which cities in New York have the most data science lead sponsorship jobs?
New York City accounts for the overwhelming majority of data science lead sponsorship activity in the state, concentrated in Manhattan's Midtown financial district, Hudson Yards tech corridor, and Lower Manhattan. Albany sees some activity from state government and healthcare data roles. Buffalo and Rochester have smaller but growing pockets of sponsorship tied to university-affiliated research institutions and regional healthcare systems.
How to find data science lead visa sponsorship jobs in New York?
Migrate Mate filters job listings specifically for roles where employers have a documented sponsorship history, making it easier to identify data science lead positions in New York without sorting through roles that won't support a visa. You can narrow results by location and seniority level to focus on New York-based opportunities at firms that actively file H-1B and other work visa petitions for senior data professionals.
What should data science leads know about the New York job market before applying for sponsored roles?
New York's concentration of financial services, media, and enterprise technology employers means data science leads are often expected to bridge technical modeling work with business strategy, which shapes how job requirements are written and what credentials employers emphasize in visa petitions. New York-based roles frequently cite Columbia, NYU, and Cornell Tech as degree sources in LCA filings, reflecting the depth of the local university pipeline for this seniority level.
What is the prevailing wage for sponsored data science lead jobs in New York?
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.