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Mathematical Modeling Jobs in Rhode Island (NOW HIRING)

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Mathematical Modeling information

See Rhode Island salary details

$26.9K

$55.5K

$59.2K

How much do mathematical modeling jobs pay per year?

As of Jul 28, 2026, the average yearly pay for mathematical modeling in Rhode Island is $55,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $58,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Mathematical Modeler, and why are they important?

To excel as a Mathematical Modeler, you need a strong background in mathematics, statistics, and computational science, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience with modeling software and data analysis tools are crucial. Analytical thinking, problem-solving, and effective communication skills help translate complex findings for diverse stakeholders. These abilities ensure accurate model development, insightful analysis, and impactful decision-making across scientific and business applications.

What is mathematical modeling?

Mathematical modeling is the process of using mathematical concepts, structures, and equations to represent real-world systems, phenomena, or problems. This can involve creating formulas or simulations to predict outcomes, analyze situations, or solve complex issues in fields like science, engineering, economics, and more. By abstracting key components of a problem into mathematical terms, models help researchers and professionals test ideas, optimize solutions, and make informed decisions. Mathematical modeling often requires both theoretical knowledge and practical application to ensure the model accurately reflects reality.

What is the difference between Mathematical Modeling vs Data Analyst?

AspectMathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldsDegree in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, engineering firms, academiaBusiness, finance, marketing departments
Industry UsageDeveloping models to simulate systems or processesAnalyzing data to inform business decisions

Mathematical Modeling focuses on creating mathematical representations of real-world systems, often for simulation or prediction. Data Analysts interpret and analyze data sets to support decision-making. While both roles require strong quantitative skills and familiarity with statistical tools, Mathematical Modelers emphasize developing models, whereas Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by professionals in mathematical modeling roles, and how can they be addressed?

Professionals in mathematical modeling often encounter challenges such as dealing with incomplete or noisy data, ensuring models are both accurate and interpretable, and effectively communicating complex results to non-technical stakeholders. To address these issues, it's important to regularly validate models with real-world data, collaborate closely with domain experts, and develop strong data visualization and presentation skills. Building a robust understanding of statistical methods and staying updated on new modeling techniques can also help in overcoming these challenges and delivering impactful results.

How to Get a Job in Mathematical Modeling

The qualifications that you need to start working in mathematical modeling include a degree and experience using computer software and programming languages. You can start in this field by earning a bachelor’s degree in math, statistics, or computer science. Some employers accept applicants who have previous experience and relevant computation skills. If your duties involve computer programming, you need to know languages like Python or C++. Research positions often require a master’s degree or Ph.D. If your responsibilities include data analysis, you can pursue a graduate degree in data science, machine learning, or a similar subject.

What are the most commonly searched types of Mathematical Modeling jobs in Rhode Island? The most popular types of Mathematical Modeling jobs in Rhode Island are:
What are popular job titles related to Mathematical Modeling jobs in Rhode Island? For Mathematical Modeling jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling jobs in Rhode Island look for? The top searched job categories for Mathematical Modeling jobs in Rhode Island are:
What cities in Rhode Island are hiring for Mathematical Modeling jobs? Cities in Rhode Island with the most Mathematical Modeling job openings:
Infographic showing various Mathematical Modeling job openings in Rhode Island as of July 2026, with employment types broken down into 68% Full Time, 26% Part Time, and 6% Contract. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $55,549 per year, or $26.7 per hour.

Full-time

Posted 26 days ago


Job description

McLaughlin Research Corporation (MRC) is seeking an on-site, highly analytical Engineer to evaluate complex technical documentation, uncover actionable insights, and validate theories through software prototyping. We are open to hiring at the Entry, Mid, or Senior level, adjusting responsibilities and compensation based on experience. In this defense contractor role, you will apply your background in electrical, acoustic, or ocean engineering to support critical Navy programs at the Naval Undersea Warfare Center (NUWC) in Newport RI.

Your primary focus is deep-dive technical analysis within a secure environment, with secondary responsibilities focused on translating those analytical theories into functional software models. Core Responsibilities Technical Document Analysis (Primary Focus): Evaluate, deconstruct, and interpret complex undersea warfare engineering documentation, specifications, and technical data packages on-site. Theory Formulation: Apply principles of signal processing, acoustics, or wave propagation to identify patterns, anomalies, and system behaviors within technical data.

Software Prototyping (Secondary Focus): Develop algorithms and rapid prototypes in MATLAB, Python, or similar tools to test, model, and validate your analytical theories. Technical Reporting: Translate highly complex technical findings into clear, structured, and actionable analytical reports for stakeholders. Level Distinction: Senior-level candidates will additionally be expected to lead analytical tasks, mentor junior staff, and interface directly with Navy leadership.Education: Bachelor's degree or higher in Electrical Engineering (focus on Signal Processing), Acoustics, Ocean Engineering, Physics, or a closely related technical field

Eligible to obtain Secret Security Clearance Technical Skills: Strong foundational knowledge of signal processing concepts, acoustic wave theory, or marine sensor systems. Proficiency in MATLAB or Python for data analysis, mathematical modeling, and prototyping. Exceptional written and verbal communication skills for dissecting and reporting on technical data.Education: Bachelor's degree or higher in Electrical Engineering (focus on Signal Processing), Acoustics, Ocean Engineering, Physics, or a closely related technical field

Eligible to obtain Secret Security Clearance Technical Skills: Strong foundational knowledge of signal processing concepts, acoustic wave theory, or marine sensor systems. Proficiency in MATLAB or Python for data analysis, mathematical modeling, and prototyping. Exceptional written and verbal communication skills for dissecting and reporting on technical data.