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 petitions for senior data science positions.
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Get Access To All Jobs3-4-day minimum on-site attendance expected in New York, NY office.
LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.
Job Description:
We are building a Data Analytics and Operations team within Research to strengthen ownership of our analytics outputs and the readiness of our core data assets. This role focuses on ensuring that data is trustworthy, usable, and effectively translated into business- and client-ready insights.
You will work in ambiguous problem spaces, define standards where none exist, and take responsibility for turning complex data into reliable, consumable outputs. You will be comfortable navigating unknowns, following problems across systems, and adapting approaches as you learn more.
Responsibilities:
- Work directly with large and complex datasets to investigate data behavior, quality, and downstream impact
- Define and maintain standards for analytics outputs, including acceptance criteria and readiness for consumption
- Translate data into clear analytical narratives for internal stakeholders and external clients
- Build and improve workflows that support analytics delivery, including automation and AI-assisted tooling where appropriate
- Partner closely with engineering, research, and product teams to surface issues, clarify data guarantees, and drive resolution
- Identify gaps in data reliability or usability and take initiative to close them
- Communicate findings, risks, and recommendations clearly to both technical and non-technical audiences
- Contribute to the development of an analytics discipline that prioritizes ownership, clarity, and impact over process overhead
Qualifications
- 5+ years of experience in digital advertising measurement from large marketing-related organizations, digital platforms or analytics specialist organizations
- 5+ years working experiences in SQL or Python, with comfort working directly with raw and intermediate datasets
- Solid understanding of how data systems support business decisions and how upstream data issues can have downstream impacts on deliverables
- You automate with purpose – You’ve led automation and AI framework related work that solved business problems and deployed solutions that meaningfully improved accuracy, efficiency, and productivity
- Experience collaborating with product and engineering teams to align on priorities, coordinate efforts, and drive results
- Ability to pivot approaches as new information emerges and unknowns are uncovered
- Ability to define acceptance criteria, standards, and best practices rather than just following them
- Clear written and verbal communication skills
- Acts as a technical and analytical mentor to junior team members
- Bonus: Experience in ad tech, media, or data products
- Bonus: Strong knowledge or experience working with TV viewership data sources
- BA/BS degree or higher in Math/Stats, Operations Research, Computer Science, Engineering, or other related quantitative field
LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.
3-4-day minimum on-site attendance expected in New York, NY office.
LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.
Job Description:
We are building a Data Analytics and Operations team within Research to strengthen ownership of our analytics outputs and the readiness of our core data assets. This role focuses on ensuring that data is trustworthy, usable, and effectively translated into business- and client-ready insights.
You will work in ambiguous problem spaces, define standards where none exist, and take responsibility for turning complex data into reliable, consumable outputs. You will be comfortable navigating unknowns, following problems across systems, and adapting approaches as you learn more.
Responsibilities:
- Work directly with large and complex datasets to investigate data behavior, quality, and downstream impact
- Define and maintain standards for analytics outputs, including acceptance criteria and readiness for consumption
- Translate data into clear analytical narratives for internal stakeholders and external clients
- Build and improve workflows that support analytics delivery, including automation and AI-assisted tooling where appropriate
- Partner closely with engineering, research, and product teams to surface issues, clarify data guarantees, and drive resolution
- Identify gaps in data reliability or usability and take initiative to close them
- Communicate findings, risks, and recommendations clearly to both technical and non-technical audiences
- Contribute to the development of an analytics discipline that prioritizes ownership, clarity, and impact over process overhead
Qualifications
- 5+ years of experience in digital advertising measurement from large marketing-related organizations, digital platforms or analytics specialist organizations
- 5+ years working experiences in SQL or Python, with comfort working directly with raw and intermediate datasets
- Solid understanding of how data systems support business decisions and how upstream data issues can have downstream impacts on deliverables
- You automate with purpose – You’ve led automation and AI framework related work that solved business problems and deployed solutions that meaningfully improved accuracy, efficiency, and productivity
- Experience collaborating with product and engineering teams to align on priorities, coordinate efforts, and drive results
- Ability to pivot approaches as new information emerges and unknowns are uncovered
- Ability to define acceptance criteria, standards, and best practices rather than just following them
- Clear written and verbal communication skills
- Acts as a technical and analytical mentor to junior team members
- Bonus: Experience in ad tech, media, or data products
- Bonus: Strong knowledge or experience working with TV viewership data sources
- BA/BS degree or higher in Math/Stats, Operations Research, Computer Science, Engineering, or other related quantitative field
LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.
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, and Canadian and Mexican nationals may qualify under TN 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.
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