Data Science Analyst Jobs in New York
Data Science Analyst jobs in New York are among the most active in the country, concentrated in financial services, media and technology, healthcare, and retail, with openings at every level from entry-level through senior analyst. The largest hiring metros are New York City, Buffalo, and Albany, where employers like JPMorgan Chase, Citigroup, and Memorial Sloan Kettering regularly bring on data science analysts across risk modeling, business intelligence, and machine learning applications. Demand is especially strong for analysts with expertise in predictive analytics, natural language processing, and financial data modeling. Find a role that fits below and apply directly.
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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.
See All 2,110+ Data Science Analyst Jobs in New York
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Find Data Science Analyst JobsData Science Analyst Jobs by City in New York
Where New York roles are concentrated, by current openings.
Data Science Analyst Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Amazon88

- Bloomberg63

- Capital One50

- Goldman Sachs49

- New York Life41

Top Industries Hiring
- Technology & Software717
- Investment & Asset Management321
- Banking & Financial Services173
- Consulting & Professional Services130
- Insurance89
What New York Employers Look For
The qualifications that appear most often in data science analyst jobs across New York.
- Bachelor's or master's degree in data science, statistics, mathematics, or a related field
- Proficiency in Python or R for data analysis, modeling, and automation
- Experience with SQL and relational databases for querying large datasets
- Familiarity with data visualization tools such as Tableau, Power BI, or Looker
- Hands-on experience with machine learning frameworks and statistical modeling techniques
- Strong communication skills for presenting data findings to non-technical stakeholders
Data Science Analyst Jobs in New York: Frequently Asked Questions
How do you become a data science analyst in New York?
Most data science analyst roles in New York require at least a bachelor's degree in data science, statistics, computer science, or a quantitative field, with many employers in finance and healthcare preferring a master's. New York does not issue a state license for this role, so hiring centers on demonstrated technical skills and relevant experience. Building a portfolio of projects, completing coursework in machine learning or applied statistics, and targeting entry programs at large New York financial institutions or hospital systems is the most direct path.
How much do data science analysts make in New York?
Data science analysts in New York earn a median of about $130,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $73,330 for the lowest 10% to over $214,080 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science analysts in New York?
Employers hiring data science analysts in New York right now include Amazon, Bloomberg, and Capital One, based on current listings on Migrate Mate as of June 2026. New York's density of financial services firms, large hospital systems, and major media companies makes it one of the most consistent markets in the country for sustained data science analyst hiring.
Which New York cities have the most data science analyst jobs?
New York, New York, and New York City have the most data science analyst openings in New York. New York City drives the volume given its concentration of global banks, insurance companies, and tech firms, while Buffalo and Albany draw hiring through regional healthcare systems, state government agencies, and growing technology employers that anchor those markets.
Are there remote data science analyst jobs in New York?
Yes, and more than most fields. About 34% of data science analyst openings tied to New York are remote or hybrid as of June 2026, reflecting how well the role translates to distributed work. The parts of the role most likely to stay fully remote are independent modeling work, reporting, and analysis tasks, while roles requiring close collaboration with trading desks or clinical teams tend to be on-site or hybrid.
How can I get hired as a data science analyst in New York with little or no experience?
The most realistic entry path is applying to analyst associate or data analyst trainee programs at large New York financial institutions such as JPMorgan Chase or Citigroup, which run structured new-graduate cohorts each year. Candidates moving in from adjacent roles like business analyst, data engineer, or research assistant positions also find the transition manageable with a strong portfolio of independent projects. A master's degree or a recognized certification in data science strengthens an application considerably when professional experience is limited.
Where can I find and apply to data science analyst jobs in New York?
You can find and apply to data science analyst jobs in New York on Migrate Mate, which lists current openings from employers actively hiring in the state. Search the listings, find roles that fit your background and location, and apply directly to the ones that match.
See All 2,110+ Data Science Analyst Jobs in New York
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