Data Science Engineer Visa Sponsorship Jobs in New York
New York is one of the most active states for data science engineer visa sponsorship, driven by major employers in finance, tech, and media. Companies like JPMorgan Chase, Bloomberg, Amazon, and IBM regularly hire and sponsor data science engineers across New York City, with additional opportunities in Buffalo and Albany's growing tech corridors.
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Get Access To All JobsINTRODUCTION
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:
-
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).
-
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:
-
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.
-
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:
-
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.
-
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
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:
-
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).
-
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:
-
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.
-
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:
-
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.
-
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 Engineer Job Roles in New York
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Search Data Science Engineer Jobs in New YorkData Science Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for data science engineers in New York?
Financial institutions and tech firms lead sponsorship activity for data science engineers in New York. JPMorgan Chase, Citigroup, Goldman Sachs, and Bloomberg are consistent sponsors in the finance sector, while Amazon, IBM, Google, and Meta maintain large data science teams in New York City. Healthcare organizations like Memorial Sloan Kettering and Mount Sinai also sponsor data science engineering roles.
Which visa types are most common for data science engineer roles in New York?
The H-1B visa is the most common visa for data science engineers in New York, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a related technical field such as computer science, statistics, or data engineering. Some employers also sponsor EB-2 or EB-3 green card petitions. Candidates from Australia may qualify for the E-3 visa, and Canadian and Mexican nationals may be eligible for the TN visa.
How to find data science engineer visa sponsorship jobs in New York?
Migrate Mate is built specifically for international job seekers and filters data science engineer roles in New York by visa sponsorship history, so you're not wasting time on employers unlikely to sponsor. Search by role and state to surface companies that have filed H-1B or other work visa petitions for data science positions in New York, including both large financial institutions and mid-size tech firms.
Which cities in New York have the most data science engineer sponsorship jobs?
New York City accounts for the overwhelming majority of data science engineer sponsorship jobs in the state, concentrated in Midtown and Lower Manhattan where financial services firms, media companies, and tech offices cluster. Brooklyn's tech community in DUMBO and Industry City adds additional opportunities. Buffalo has seen growth from companies like M&T Bank and local university research partnerships, though its volume remains significantly smaller than NYC.
Are there any state-specific factors that affect visa sponsorship for data science engineers in New York?
New York's concentration of financial services employers means data science engineers here often work on regulated data pipelines, risk models, and compliance systems, which can make employer sponsorship decisions more deliberate given legal and regulatory oversight. New York's universities, including Columbia, Cornell Tech, and NYU, produce a strong local talent pipeline, and many employers recruit directly from these programs, sometimes extending sponsorship to international OPT students already in the state.
What is the prevailing wage for sponsored data science engineer 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.