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Mathematical Programming Jobs in Massachusetts (NOW HIRING)

US Department of the Air Force

$63K/yr

OR COMBINATION OF EDUCATION AND EXPERIENCE: at least 24 hours of mathematics and statistics ... Experience in administrative aspects of task engineering and management, e.g., procurement policies ...

U.S. Department of Defense (DOD)

$63K/yr

OR COMBINATION OF EDUCATION AND EXPERIENCE: at least 24 hours of mathematics and statistics ... Experience in administrative aspects of task engineering and management, e.g., procurement policies ...

STR

Principal Signal Processing Engineer

Boston, MA · On-site

$206K - $284K/yr

Proficiency in in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++ * Strong mathematical, troubleshooting, written, and verbal communication skills Even ...

STR

Principal Signal Processing Engineer

Woburn, MA · On-site

$206K - $284K/yr

Proficiency in in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++ * Strong mathematical, troubleshooting, written, and verbal communication skills Even ...

STR

Principal Signal Processing Engineer

Boston, MA · On-site

$206K - $284K/yr

Proficiency in in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++ * Strong mathematical, troubleshooting, written, and verbal communication skills Even ...

STR

Principal Signal Processing Engineer

Woburn, MA · On-site

$206K - $284K/yr

Proficiency in in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++ * Strong mathematical, troubleshooting, written, and verbal communication skills Even ...

STR

Principal Signal Processing Engineer

Woburn, MA · On-site

$206K - $284K/yr

Proficiency in in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++ * Strong mathematical, troubleshooting, written, and verbal communication skills Even ...

STR

Principal Signal Processing Engineer

Woburn, MA

$206K - $284K/yr

Proficiency in in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++ * Strong mathematical, troubleshooting, written, and verbal communication skills Even ...

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Mathematical Programming information

See Massachusetts salary details

$13

$43

$75

How much do mathematical programming jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for mathematical programming in Massachusetts is $43.18, according to ZipRecruiter salary data. Most workers in this role earn between $28.08 and $56.20 per hour, depending on experience, location, and employer.

What is a mathematical programming?

A Mathematical Programming job involves using mathematical models, optimization techniques, and algorithms to solve complex problems in various industries. Professionals in this field work on tasks such as resource allocation, scheduling, risk analysis, and decision-making processes. They utilize programming languages like Python, R, or specialized optimization software to develop efficient solutions. Common industries that hire for this role include finance, logistics, engineering, and data science. These jobs require strong analytical skills, mathematical knowledge, and the ability to translate real-world problems into mathematical formulations.

What are the typical responsibilities of someone working in mathematical programming?

Professionals in Mathematical Programming are primarily responsible for developing, implementing, and analyzing mathematical models to solve complex optimization problems in areas like logistics, finance, or engineering. Their daily tasks often include formulating models, coding algorithms, running simulations, and interpreting results to advise decision-makers. Mathematical Programmers frequently collaborate with cross-functional teams such as data analysts, domain experts, and project managers to tailor solutions to organizational needs. This hands-on, collaborative role offers continuous learning opportunities and exposure to a wide variety of real-world problems, making it a dynamic and rewarding career choice.

What are the key skills and qualifications needed to thrive in mathematical programming, and why are they important?

To excel in Mathematical Programming, candidates typically need a strong background in mathematics, operations research, and computer science, often supported by a relevant bachelor's or master's degree. Proficiency in programming languages such as Python, MATLAB, or specialized optimization software like CPLEX and Gurobi is highly valued in this field. Strong analytical thinking, problem-solving abilities, and clear communication skills help professionals interpret complex data and effectively present solutions. These skills are vital for developing efficient algorithms and optimization models that solve real-world business or engineering challenges.

What are popular job titles related to Mathematical Programming jobs in Massachusetts?

For Mathematical Programming jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Mathematical Programming jobs in Massachusetts look for?

The top searched job categories for Mathematical Programming jobs in Massachusetts are:

Mathematical Programming jobs near you
Infographic showing various Mathematical Programming job openings in Massachusetts as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution, with an average salary of $89,810 per year, or $43.2 per hour.

Optimization Scientist

Recentive Analytics Inc.

Boston, MA • On-site

$90 - $130/hr

Other

Posted 17 days ago

Job description

Optimization Scientist

Department: Engineering

Employment Type: Full Time

Location: SF / Boston / Remote (USA)

Description

We’re looking for a Optimization Scientist to join Recentive’s core Operations Research team. In this role, you’ll develop and deploy optimization models that solve complex scheduling, resource allocation, and decision‑making problems for some of the biggest names in sports and entertainment. You’ll work closely with engineering and data teams to design analytical solutions that drive measurable impact across industries.

What You’ll Be Doing
  • Advanced Optimization Model Development: Designing and building advanced optimization models, leveraging techniques like integer programming, network flow, and metaheuristics.
  • Cross‑Functional Collaboration: Collaborating with cross‑functional teams to define problems, develop solutions, and integrate optimization models into production systems.
  • Real‑World Application & Deployment: Prototyping and deploying models to solve real‑world problems in areas like scheduling, resource optimization, and forecasting.
What We’re Looking For
  • Operations Research & Optimization Expertise: 5+ years of experience in operations research and optimization model development in a production environment.
  • Mathematical Programming Experience: Strong expertise in mathematical programming, including integer programming, decomposition methods, and cutting‑plane methods.
  • Combinatorial Optimization Experience: Experience tackling large‑scale combinatorial optimization problems with creative modeling techniques.
  • Production‑Ready Development: Proficiency in Python for developing scalable, production‑ready optimization solutions.
  • Solver & Framework Familiarity: Hands‑on experience with commercial optimization solvers (e.g., Gurobi, CPLEX) and open‑source frameworks.
  • Iterative Problem‑Solving Approach: A results‑driven mindset with the ability to prototype quickly and iteratively refine solutions.
Why Work at Recentive

Impactful Work: Our technology and products directly shape operational strategies at leading sports teams and leagues, broadcasters, and other key players in the live events ecosystem.

Forward Thinking: Design and build forward‑thinking analytical solutions that blend creativity and engineering—leveraging advanced algorithms, optimization, and machine learning to solve complex, real‑world challenges.

Collaborative Culture: We’re a growing, tight‑knit data‑centered team that values knowledge‑sharing, learning, and innovation.

Growth & Ownership: Shape your career as a technical leader while helping build next‑generation analytical tools from the ground up.

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