Data Science Analyst Visa Sponsorship Jobs in New York
New York is one of the most active markets for data science analyst visa sponsorship in the U.S., with major employers across finance, media, tech, and healthcare concentrated in Manhattan, Brooklyn, and midtown corridors. Firms like JPMorgan Chase, Bloomberg, Pfizer, and Spotify regularly hire data science analysts and have established H-1B visa sponsorship track records.
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INTRODUCTION
SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXMConnect) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners - in the car, at home, and anywhere on the go with connected devices. Our vision is to shape the future of audio, where everyone can be effortlessly connected to the voices, stories and music they love wherever they are.
This is the place where a diverse group of emerging talent and legends alike come to share authentic and purposeful songs, stories, sounds and insights through some of the best programming and technology in the world. Our critically-acclaimed, industry-leading audio entertainment encompasses music, sports, comedy, news, talk, live events, and podcasting. No matter their individual role, each of our employees plays a vital part in bringing SiriusXM’s vision to life every day.
SiriusXM is the leading audio entertainment company in North America, and the premier programmer and platform for subscription and digital advertising-supported audio products. SiriusXM’s platforms collectively reach approximately 150 million listeners, the largest digital audio audience across paid and free tiers in North America, and deliver music, sports, talk, news, comedy, entertainment and podcasts. Pandora, a subsidiary of SiriusXM, is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM's subsidiaries Simplecast and AdsWizz make it a leader in podcast hosting, production, distribution, analytics and monetization. The Company’s advertising sales organization, which operates as SiriusXM Media, leverages its scale, cross-platform sales organization and ad tech capabilities to deliver results for audio creators and advertisers. SiriusXM, through SiriusXM Canada Holdings, Inc., also offers satellite radio and audio entertainment in Canada. In addition to its audio entertainment businesses, SiriusXM offers connected vehicle services to automakers.
The Pathways Program is an early-career development program designed for recent graduates of Historically Black Colleges and Universities (HBCUs). As a Pathways Associate, you will participate in a year-long program focused on accelerating career advancement through mentorship, networking, and learning and development opportunities. Upon completion of the program, Pathways Alumni continue building their careers in their current roles as they Go Higher at SiriusXM.
ROLE AND RESPONSIBILITIES
How you’ll make an impact:
As a Pathways: Analyst, Commercial Analytics & Data Science, you’ll support the Commercial Analytics team with analytical, machine learning, and forecasting initiatives. These initiatives include developing and advancing internal data & machine learning products, working closely with marketing teams to analyze and interpret data, identify trends and insights, and support the development and implementation of marketing strategies. The ideal candidate will blend strong quantitative skills with a keen business analytics sense and exhibit strong problem solving and critical thinking skills.
What you’ll do:
- Assist the Commercial Analytics team to implement A/B tests and create data-driven insights to continuously optimize business performance and subscriber outcomes.
- Assist in model development and other data products to support marketing decision making.
- Perform data extraction by querying databases to answer questions from marketers and provide insights for decision-making.
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Build automated monitoring systems, dashboards, and alerts to proactively detect issues in model scoring, runtime, cost, and output delivery, including:
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Ensuring model inputs/predictors are available and up-to-date for each scoring cycle.
- Verifying that models execute successfully and generate expected outputs.
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Monitoring downstream delivery of model scores (e.g., into Salesforce) to ensure seamless integration with customer journeys.
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Collaborate across CADS, Data Engineering, and MarTech teams to troubleshoot and resolve production issues rapidly, minimizing disruptions to marketing campaigns.
- Evaluate and integrate new data sources and design pipelines with proper documentation for feature engineering.
BASIC QUALIFICATIONS
What you’ll need:
- Must be a recent graduate from an accredited HBCU (Within the last 2 years, or expected to graduate by June 2026).
- Strong interest in marketing and a desire to learn about marketing analytics and data science.
- Excellent time management and attention to detail.
- Excellent written and verbal communication skills.
- Interpersonal skills and ability to interact and work with other staff.
- Willingness to take initiative and to follow through on projects.
- Ability to work independently and in a team environment.
- Commitment to “internal client” and customer service principles.
- Understanding of Machine Learning including concepts such as preprocessing, feature engineering, and training models; and supervised machine learning models such as Logistic Regression, XGBoost, etc.
- Familiarity with data visualization tools such as Tableau, Power BI or Databricks Apps.
- Familiarity with Git and/or Bitbucket.
- Experience with SQL and Python.
- Understanding of Machine Learning including concepts such as preprocessing, feature engineering, and training models; and supervised machine learning models such as Logistic Regression, XGBoost, etc.
- Must have legal right to work in the U.S.
COMPENSATION
At SiriusXM, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the base salary for this position to be in the range of $75,000 to $95,900 and will depend on your skills, qualifications, and experience. Additionally, this role might be eligible for discretionary short-term and long-term incentives. We encourage all interested candidates to apply.
Our goal at SiriusXM is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws.
The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.
Data Science Analyst Job Roles in New York
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Search Data Science Analyst Jobs in New YorkData Science Analyst Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for data science analysts in New York?
Financial institutions and tech companies lead H-1B sponsorship for data science analysts in New York. JPMorgan Chase, Citigroup, Bloomberg, Goldman Sachs, and IBM are among the most consistent sponsors based on Department of Labor disclosure data. Healthcare companies like Memorial Sloan Kettering and media companies like NBCUniversal also file regularly. Sponsorship volume and consistency varies by employer, so reviewing LCA filings on the DOL OFLC disclosure database gives the most accurate picture.
Which visa types are most common for data science analyst roles in New York?
The H-1B is the most common visa for data science analysts in New York. It requires a bachelor's degree or higher in a directly related field such as statistics, computer science, or applied mathematics, and the role must qualify as a specialty occupation. Australians may qualify for the E-3 visa, which has no annual lottery. Candidates already holding OPT or STEM OPT through a U.S. university can also work while an H-1B petition is pending.
Which cities in New York have the most data science analyst sponsorship jobs?
New York City, specifically Manhattan, accounts for the overwhelming majority of data science analyst sponsorship jobs in the state. The Midtown and Lower Manhattan financial districts, the Flatiron tech hub, and Hudson Yards concentrate the highest employer density. Brooklyn has a growing presence through fintech startups. Albany and Buffalo have smaller but active markets tied to state government agencies and regional universities, though sponsorship activity there is considerably lower.
How to find data science analyst visa sponsorship jobs in New York?
Migrate Mate is built specifically for international job seekers targeting visa sponsorship roles in the U.S. You can filter by state and role to find data science analyst positions in New York from employers with documented H-1B or E-3 visa sponsorship histories. This saves significant time compared to manually screening general job postings where sponsorship availability is unclear. Migrate Mate's job board is updated regularly to reflect current openings.
Are there any New York-specific considerations for data science analyst visa sponsorship?
New York employers must pay the Department of Labor prevailing wage for the specific location where the analyst will work, which reflects New York City's high cost of living and tends to set a meaningful floor for offers. New York is also home to Columbia, NYU, and Cornell Tech, whose OPT pipelines supply many entry-level data science candidates, meaning competition for sponsored roles can be strong. Some New York financial employers have specific compliance requirements that can lengthen their internal sponsorship approval process.
What is the prevailing wage for sponsored data science analyst 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.