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Math Computer Science Jobs in New York (NOW HIRING)

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$24.6K

$64.4K

$103.4K

How much do math computer science jobs pay per year?

As of Jun 6, 2026, the average yearly pay for math computer science in New York is $64,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,200.00 and $76,600.00 per year, depending on experience, location, and employer.

What is the difference between Math Computer Science vs Data Scientist?

AspectMath Computer ScienceData Scientist
Required CredentialsDegree in Math, Computer Science, or related fieldsDegree in Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, tech firms, analytics teams
Employer & Industry UsageUniversities, research institutions, tech companiesCorporations, startups, consulting firms
Common Search & Comparison IntentUnderstanding technical roles, skills, and educationData analysis, modeling, and business insights

Math Computer Science focuses on theoretical and applied aspects of mathematics and computer science, often emphasizing algorithms, proofs, and computational theory. Data Scientists apply statistical and programming skills to analyze data, generate insights, and support decision-making. While both roles require strong analytical skills and programming knowledge, Math Computer Science leans more toward research and development, whereas Data Science is more business and application-oriented.

What are the key skills and qualifications needed to thrive as a Math Computer Scientist, and why are they important?

To thrive as a Math Computer Scientist, you need a strong background in mathematics, algorithms, programming, and typically a degree in computer science, mathematics, or a related field. Proficiency in programming languages such as Python, C++, or Java, and experience with mathematical software like MATLAB or Mathematica, are commonly required. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating on complex projects and presenting findings. These skills are important to design efficient algorithms, solve computational problems, and contribute effectively to research and development in technology-driven environments.

How do professionals in Math Computer Science typically collaborate with other departments within an organization?

Professionals in Math Computer Science often work closely with teams such as data science, engineering, finance, and product development. Their strong analytical and programming skills enable them to design algorithms, optimize processes, and interpret data, which are essential for cross-functional projects. Regular collaboration may involve participating in meetings, contributing to code reviews, and providing mathematical insights to support decision-making. Building effective communication skills is important, as explaining complex concepts to non-technical colleagues is a common part of the role.

What are Math Computer Science jobs?

Math Computer Science jobs are roles that blend mathematics and computer science skills to solve complex problems, often involving algorithms, data analysis, software development, and mathematical modeling. Professionals in this field may work as data scientists, software engineers, cryptographers, quantitative analysts, or researchers. These jobs typically require strong analytical thinking, proficiency in programming languages, and a solid understanding of mathematical concepts. Industries such as technology, finance, healthcare, and academia frequently hire people with this background. These roles often involve designing efficient algorithms, analyzing large datasets, and creating models to predict outcomes or optimize processes.
What cities in New York are hiring for Math Computer Science jobs? Cities in New York with the most Math Computer Science job openings:
Math Computer Science jobs near you
Infographic showing various Math Computer Science job openings in New York as of May 2026, with employment types broken down into 3% As Needed, 56% Full Time, 34% Part Time, and 7% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $64,370 per year, or $30.9 per hour.
Summer 2027 Quantitative Developer Internship

Summer 2027 Quantitative Developer Internship

Point72

New York, NY • On-site

$240K - $300K/yr

Full-time, Temporary, Internship

Posted 13 days ago

Job description

Please send CVs to KEPL-talent@cubistsystematic.com with "2027 QD Summer Internship Application" in the subject line. When your application is received, we will consider you for all similar positions at Cubist.
About Cubist:
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
About Our Team:
KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies.
Role / Experience:
We are looking for exceptional students to be our quantitative developer interns for the summer of 2027. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical and programming skills and be able to solve hard problems rigorously. Our typical intern candidates come from math, computer science, or other related programs of top US universities.
Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will further learn and develop strong analytical skills through working with our full-time researchers and developers on challenging real-world problems. We will consider full-time offers for interns after the internship.
Requirements:
  • Undergraduate degree or higher in math, computer science, or other quantitative fields
  • Strong analytical skills, with attention to details
  • Strong passion in applying new technologies to trading
  • Proficiency in Python and either C++ or Java
  • Good communication skills
  • Proficiency with Linux environment
  • Knowledge of numerical computing is a plus
  • Commitment to the highest ethical standards

The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
  • Undergraduate degree or higher in math, computer science, or other quantitative fields
  • Strong analytical skills, with attention to details
  • Strong passion in applying new technologies to trading
  • Proficiency in Python and either C++ or Java
  • Proficiency with Linux environment
  • Knowledge of numerical computing is a plus
  • Commitment to the highest ethical standards

The annual base salary is $240,000-$300,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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