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Math Computer Science Jobs in Boston, MA (NOW HIRING)

The School of Computing and Data Science (SCDS) includes more than 30 full-time faculty who offer undergraduate majors in Applied Mathematics, Applied Artificial Intelligence, Computer Science ...

D. in Computer Science, Operations Research, Physics, Electrical Engineering, Mathematics or other quantitative fields. Experience with Spark, Kaplan, Breeze, map/reduce models a plus Experience ...

D. in Computer Science, Operations Research, Physics, Electrical Engineering, Mathematics or other quantitative fields. Experience with Spark, Kaplan, Breeze, map/reduce models a plus Experience ...

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. * At least 2+ years of industry experience outside ...

... computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our ...

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline * A Master's or PhD in Computer Science, AI, Data Science, or a related ...

Required : • MS in Mathematics, Computer Science, Data Science, AI/ML, Autonomy, Statistics, Electrical Engineering, Systems Engineering, Mechanical Engineering, Aero/Astro, or a related field. • ...

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Math Computer Science information

See Boston, MA salary details

$24.4K

$63.9K

$102.7K

How much do math computer science jobs pay per year?

As of Jun 6, 2026, the average yearly pay for math computer science in Boston, MA is $63,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $76,000.00 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.
Infographic showing various Math Computer Science job openings in Boston, MA as of May 2026, with employment types broken down into 7% Internship, 72% Full Time, and 21% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $63,921 per year, or $30.7 per hour.

Computational Design Engineer Co-Op - Fall 2026

Alvar Financial Services Limited

Peabody, MA

Other

Posted 24 days ago


Job description

Computational Design Engineer Co-Op


Job Summary

Specter Aerospace is seeking a Computational Design Engineer Co-Op (4-6+ month cycle) to support the design and analysis of high-speed airbreathing testbed vehicles. A successful candidate for this position will be driven and passionate about computational design.


About Specter Aerospace

Specter Aerospace is building the next generation of hypersonic vehicles for defense and commercial applications. Specter is headquartered in Peabody, MA, just north of Boston, where it leverages its advanced propulsion technologies, manufacturing, and testing capabilities to rapidly develop supersonic and hypersonic systems. Funded by a mix of government R&D organizations, commercial customers, and private funding, Specter is a growing aerospace and defense startup. Close relationships with MIT, Notre Dame, AFRL, NRL, ANL, and other research organizations provide access to cutting-edge developments, facilities, and personnel. Specter is expanding its team in preparation for flight testing and full-scale production.


Role & Responsibilities

Work in a fast-paced environment making reusable computational geometry models to take hypersonic vehicles from requirements to design

Work with mechanical, design, aerodynamics, propulsion, and software engineers to define I/O and create parametric geometry models that connect to analysis tools

Other duties as assigned by the company


Job Requirements

Pursuing bachelor's or master's degree in engineering, Math, Computer Science, Physics, or other related discipline

Prior experience using any computational design software (Rhino/Grasshopper, nTop, PicoGK, NX Implicit Modeling, Altair Implicit Modeling etc.)

Familiary with implicit modeling concepts (signed distance functions, level sets, Boolean operations, inversions, differential geometry)

Previous CAD/design experience in a technical shop, lab, or a student organization

Comfort with project autonomy and fast-paced work environments

Strong collaborative skills and a drive to produce quality work

Strong communication skills to clarify scope and requirements when working with other engineers.

Familiary with mechanical engineering and physics principles (statics, materials, thermo/fluids, etc...)

Ability to obtain a DoD security clearance (U.S. Citizenship required)


Desired Skills

Prior professional or student group work experiences

Experience with at least one programming language

Prior experience with additive manufacturing

Amateur rocketry or model aircraft experience

Prior FEA/CFD experience

Prior topology optimization experience

Prior DFAM/DFM experience

Experience with large and complex models in a computational design software