Data Scientist Salary in New York 2025

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Data Scientist Salary in New York: Full Breakdown

Data scientists in New York command some of the highest salaries in the tech industry, reflecting the region’s concentration of major financial institutions, tech companies, and media organizations. The 2024 BLS data shows an annual mean salary of $139,810, positioning New York as a premier market for data science talent.

The New York metro area encompasses several major employment hubs including Manhattan, Brooklyn, Queens, Jersey City, Newark, and Stamford — each representing distinct salary and cost-of-living profiles. Manhattan, in particular, hosts the headquarters and major offices of financial firms, insurance companies, and digital media platforms that actively recruit data scientists at premium compensation levels.

Salary Range by Experience Level

While the BLS provides the mean salary figure of $139,810 for 2024, data scientist compensation varies significantly based on experience, specialization, and employer type. Entry-level positions typically offer lower compensation, while senior roles, principal data scientists, and those with specialized expertise in machine learning, statistical modeling, or big data infrastructure command substantially higher salaries.

The concentration of Fortune 500 companies, hedge funds, investment banks, and technology firms in New York creates competitive pressure that pushes salaries upward. Employers in the financial services sector — a dominant presence in the New York metro — frequently offer the highest compensation packages to attract top data science talent.

Cost of Living Context

New York’s high salary for data scientists must be evaluated against the region’s significant cost of living. Housing, transportation, and general expenses in New York are substantially higher than the national average, which means that while the nominal salary appears strong, the purchasing power requires careful analysis.

The New York metro area includes neighborhoods with vastly different cost structures. Manhattan commands premium prices for both housing and services, while outer boroughs like Queens and Brooklyn offer relatively more affordable options. Jersey City and Newark provide alternatives for commuters seeking lower housing costs while maintaining access to major employment centers.

When considering a data scientist position in New York, factor in:

• Housing costs: Rental prices vary dramatically by neighborhood, from over $3,000/month in Manhattan to $1,500-$2,500 in outer boroughs
• Transportation: Regional transit passes and commuting costs add to living expenses
• State and local taxes: New York has both state income tax and, in New York City, a local income tax that reduces take-home pay
• Professional development: The concentration of conferences, training programs, and networking events offers valuable career advancement opportunities that may justify higher living costs

Historical Context and Market Trends

The data scientist role has evolved dramatically over the past decade. In 2024, the BLS classified data scientists under SOC code 15-2051, reflecting the maturation of this occupation as a distinct career path. The $139,810 mean salary in New York represents the market value for this specialized technical expertise.

Data science salaries have generally trended upward as demand for data-driven decision-making has increased across industries. Organizations across finance, healthcare, retail, technology, and manufacturing now recognize data science as critical to competitive advantage, driving demand for qualified professionals.

Top Employers for Data Scientists in New York

The New York metro area hosts numerous employers actively recruiting data scientists:

• Financial Services: Major banks, hedge funds, and investment firms (e.g., Goldman Sachs, Citadel, Two Sigma, Renaissance Technologies)
• Technology Companies: Tech giants and startups with significant New York operations
• Insurance and Risk Management: Companies leveraging data science for underwriting and claims analysis
• Media and Advertising: Digital media platforms and advertising networks requiring audience analytics and recommendation systems
• Healthcare and Pharmaceutical: Organizations using data science for drug discovery, clinical trials, and health outcomes analysis
• Retail and E-commerce: Companies optimizing supply chain, pricing, and customer experience through data science

Nearby Cities and Metro Comparison

The New York Metropolitan Statistical Area is geographically diverse, with employment opportunities across multiple states and municipalities:

Manhattan: The financial and media capital, offering the highest salaries and most prestigious positions but with corresponding cost-of-living premiums.

Brooklyn and Queens: Growing tech hubs with lower costs than Manhattan, increasingly attractive to companies seeking talented staff at more sustainable expense levels.

Jersey City and Newark: Emerging technology centers offering competitive salaries with lower housing costs, appealing to professionals commuting into New York.

Stamford, Connecticut: A secondary financial center with major corporate headquarters, offering data science opportunities with lower costs than New York City proper.

Job Outlook for Data Scientists

Data science continues to be one of the fastest-growing occupational categories in the United States. The U.S. Bureau of Labor Statistics projects strong growth for computer and information technology occupations, of which data science is a key component.

Factors driving continued demand for data scientists in New York include:

• Regulatory compliance: Financial services firms require data science expertise for regulatory reporting and risk management
• Artificial intelligence adoption: Organizations across sectors are implementing machine learning and AI systems
• Data infrastructure investment: Cloud computing and big data platforms require specialized technical expertise
• Competitive advantage: Companies recognize data-driven decision-making as essential to market competitiveness

The New York metro’s concentration of major corporations ensures sustained demand for data science talent, though competition for positions remains intense given the region’s attraction to skilled professionals nationwide.

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Frequently Asked Questions

What is the starting salary for a data scientist in New York?

Entry-level data scientist positions in New York typically offer salaries in the $80,000-$110,000 range, though this varies by employer and specific role requirements. Many entry-level positions require a master’s degree in data science, statistics, mathematics, or computer science, or equivalent professional experience. Companies in the financial services and technology sectors tend to offer higher entry-level compensation than other industries.

How does data scientist salary in New York compare to the national average?

The New York metro area’s mean data scientist salary of $139,810 (2024, BLS) is significantly above the national average for this occupation. New York ranks among the top metropolitan areas for data science compensation, reflecting the region’s concentration of major employers and competitive talent market. However, this nominal salary advantage must be adjusted for New York’s substantially higher cost of living, which reduces real purchasing power compared to lower-cost regions.

Is it worth moving to New York for a data scientist position?

The decision to relocate depends on multiple factors beyond salary. New York offers unparalleled career advancement opportunities, exposure to cutting-edge technology implementations, and access to a dense network of industry professionals. The concentration of financial institutions, tech companies, and media organizations creates unique learning opportunities. However, high housing costs, state and local taxes, and general living expenses mean that the effective salary increase may be modest compared to other major tech hubs. Professionals should calculate cost-of-living-adjusted salary, consider career growth potential, and evaluate personal lifestyle preferences before deciding.

What skills command the highest data scientist salaries in New York?

Data scientists with expertise in machine learning, artificial intelligence, statistical modeling, and specialized programming languages (Python, R, Scala) typically earn premium compensation. Professionals with domain expertise in finance, healthcare, or pharmaceutical industries often command higher salaries. Additionally, experience with cloud platforms (AWS, Google Cloud, Azure), big data technologies (Spark, Hadoop), and specialized tools for regulatory compliance can significantly increase earning potential.

What are the top industries hiring data scientists in New York?

Financial services (banking, insurance, investment management) represents the largest employer of data scientists in the New York metro, followed by technology, healthcare, pharmaceutical, retail, and media companies. The concentration of Fortune 500 headquarters and financial institutions in New York creates particularly strong demand in these sectors, often offering the highest compensation packages.

How often do data scientist salaries increase in New York?

Annual salary increases for data scientists typically range from 3-8% depending on performance, experience level, and market conditions. Professionals changing employers often see larger salary increases (15-30%) than those receiving internal promotions. The competitive talent market in New York generally supports regular salary growth for high-performing data scientists, particularly those developing specialized expertise or moving into leadership roles.

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Data source: Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS), 2024. Occupational classification: SOC 15-2051 (Data Scientists). Metropolitan Statistical Area: New York-Newark-Jersey City, NY-NJ-PA (MSA 35620).

Last updated: April 10, 2026

Disclaimer: Salary data presented here is based on publicly available sources and represents aggregate information for the specified occupation and location. Actual compensation varies based on individual qualifications, employer, specific role responsibilities, and market conditions. This content is informational and should not be construed as financial or career advice. Consult with career counselors, recruiters, or compensation specialists for personalized guidance.