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Applied Math Jobs in Massachusetts (NOW HIRING)

Capital One

Applied Researcher I

Cambridge, MA

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

Capital One

Applied Researcher I

Cambridge, MA

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications [choose correct set ...

Capital One

Applied Researcher I

Cambridge, MA · On-site

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications [choose correct set ...

Capital One

Applied Researcher I

Cambridge, MA

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

Capital One

Applied Researcher I

Cambridge, MA

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications [choose correct set ...

Capital One

Applied Researcher I

Cambridge, MA

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer ...

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All JobsApplied Math JobsApplied Math Jobs in Massachusetts

Applied Math information

See Massachusetts salary details

$24.6K

$64.3K

$103.2K

How much do applied math jobs pay per year?

As of Jun 27, 2026, the average yearly pay for applied math in Massachusetts is $64,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $76,400.00 per year, depending on experience, location, and employer.

What are applied mathematicians?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What are the key skills and qualifications needed to thrive as an Applied Mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.
What are popular job titles related to Applied Math jobs in Massachusetts? For Applied Math jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Massachusetts look for? The top searched job categories for Applied Math jobs in Massachusetts are:
Applied Math jobs near you
Infographic showing various Applied Math job openings in Massachusetts as of June 2026, with employment types broken down into 100% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $64,257 per year, or $30.9 per hour.
Applied Physical Scientist

Applied Physical Scientist

Frontier Technology Inc.

Beverly, MA

Full-time

Posted 10 days ago

Job description

Overview

Frontier Technology Inc. is seeking an experienced Applied Physical Scientist to join our Sensor and Data Services team in Beverly, MA. This role focuses on Space Domain Awareness (SDA), including advanced analysis, physics-based modeling, algorithm development, and deployment of solutions for space-based systems. Experience with EOIR sensors is beneficial but not required.

You will work as part of a multidisciplinary team of scientists and software engineers, developing and deploying algorithms and services that enhance space situational awareness. Our team operates in a cloud-native development environment using modern DevOps practices. This position is currently 100% on-site at our Beverly, MA facility due to the classified nature of the work. Active TS security clearance is required to be upgraded with a SCI.

Responsibilities

Scientific Analysis and Algorithm Development

  • Design and implement algorithms for SDA applications, including object detection, tracking, and characterization in space environments.
  • Analyze SDA-related datasets and simulations to improve space situational awareness and decision-making capabilities.
  • Apply expertise in statistics, data modeling, simulation, and advanced mathematics to identify patterns and deliver innovative solutions.
  • Perform image processing, coordinate transformations, sensor calibration, and related analytical tasks as needed.

Software Development and Deployment

  • Develop production-quality code in Python and Java/Spring Boot, following modern software engineering practices including version control, code review, automated testing, and CI/CD.
  • Containerize algorithms and services using Docker for deployment to Kubernetes clusters.
  • Participate in the full development lifecycle: design, implementation, testing, deployment, and monitoring.

Collaboration and Communication

  • Collaborate with SDA and EOIR domain experts to refine algorithm requirements and validate results.
  • Partner with software engineers to integrate scientific algorithms into robust, deployable services.
  • Engage with customers to present technical results, gather feedback, and define future tasking. Communicate complex technical results clearly to both technical and non-technical audiences.
  • Communicate complex technical results clearly to both technical and non-technical audiences.
Education/Qualifications

Education

  • Master's degree in Astronomy, Physics, Applied Mathematics, or a closely related discipline.

Domain Knowledge

  • Strong technical background in astronomy or physics.
  • Practical knowledge of telescopes and optical systems, including observation planning or mission design.
  • Experience with standard astronomical data analysis and reduction procedures.
  • Strong mathematical foundation, with experience applying statistical methods to scientific data.
  • Active TS/SCI security clearance is required. U.S. citizenship is required.

Software Development

  • Programming fluency in Python with scientific computing libraries (NumPy, SciPy, or equivalent).
  • Experience with Java development; Spring Boot experience strongly preferred.
  • Familiarity with containerized development workflows (Docker, Kubernetes).
  • Experience with CI/CD pipelines (Jenkins or equivalent).
  • Working knowledge of MongoDB or similar document databases.
  • Proficiency with Git for version control and collaborative development.
  • Experience writing automated tests (unit, integration) for scientific and production code.
  • Desired experience with STK (Ansys Systems Tool Kit), OD++ or similar orbit determination software.

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Employment Type: FULL_TIME

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