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Mathematical Modeling Jobs in Rhode Island (NOW HIRING)

Math 1 Tutor

Providence, RI · Remote

$18 - $40/hr

Guides students through modeling with linear and exponential functions, interpreting scatter plots and residuals, and performing rigid transformations on the coordinate plane. Emphasizes mathematical ...

Math 2 Tutor

Providence, RI · Remote

$18 - $40/hr

Adapts instruction using dynamic geometry software, visual models for probability, and scaffolded practice to support students building on Integrated Math 1 foundations. * Effective Teaching Methods:

Ability to explain number sense, coordinate plane plotting, and mathematical reasoning while ... using visual models and hands-on manipulatives. Guides students through pre-algebra concepts ...

Reward modeling and preference learning * Counterfactual evaluation * Credit assignment over long ... Statistics, Mathematics, Operations Research, or a related field, and returning to that program ...

New

Reward modeling and preference learning * Counterfactual evaluation * Credit assignment over long ... Statistics, Mathematics, Operations Research, or a related field, and returning to that program ...

New

Reward modeling and preference learning * Counterfactual evaluation * Credit assignment over long ... Statistics, Mathematics, Operations Research, or a related field, and returning to that program ...

New

Reward modeling and preference learning * Counterfactual evaluation * Credit assignment over long ... Statistics, Mathematics, Operations Research, or a related field, and returning to that program ...

New

Showing results 21-40

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 Sep 4, 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 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.

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 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 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.

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 do you do in mathematical modeling?

In mathematical modeling, a mathematical modeler develops mathematical representations of real-world systems to analyze and predict their behavior. This involves formulating equations, using computational tools, and validating models with data to support decision-making or problem-solving. Strong analytical skills and knowledge of programming languages like Python or MATLAB are often essential.

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 August 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.

OPERATIONS ANALYST III

McLaughlin Research Corp.

Newport, RI • On-site

$90 - $120/hr

Other

Posted 6 days ago


Job description

Apply to One of Our Current Openings to Start or Continue Your Career at MRC

If you’re interested in applying for a position at McLaughlin Research Corporation, browse our list of current openings below. You can then learn more about each position and apply with us today. Whether you’re just starting out or want to continue to grow in your career, we offer plenty of opportunities for both professional and personal growth here at MRC. We’re ready to welcome you to our growing team.

OPERATIONS ANALYST III - (ANLOPERIII_COMPANY_1.6)

Job Title

OPERATIONS ANALYST III

Location

Newport, RI 02840 US (Primary)

Job Type / Status

Full-Time

Education

Bachelor's Degree

Clearance Level Required

Secret

Job Description

Operations research analysts help determine better ways to coordinate and manage large organizations that require the effective use of money, materials, equipment, and people. This is accomplished by applying analytical methods from mathematics, science, and engineering. Operations research analysts may be concerned with diverse issues such as top-level strategy, planning, forecasting, resource allocation, performance measurement, scheduling, the design of production facilities and systems, supply chain management, pricing, transportation and distribution, and the analysis of large databases.

Analysts gather information, then select the most appropriate analytical technique. Analysts can use any of several techniques, including simulation, linear and nonlinear programming, dynamic programming, queuing and other stochastic-process models, and the analytic hierarchy process. Most techniques involve the construction of mathematical models that attempt to describe the system being studied. The use of models enables the analyst to assign values to the different components and clarify the relationships among them. The values can be altered to examine what may happen to the system under different circumstances.

Job Requirements

Education: Bachelor's level degree in an Engineering discipline, Physics, Education or Mathematics and a Master's level degree in Operations Research or Mathematics

Experience: 10 years professional experience in operations research. Undersea Sensors, Acoustic Analyst Intelligence, Operational tactical Submarine experience ASW/ASUW

Equal Employment Opportunity Statement

McLaughlin Research Corporation is an Equal Opportunity and Affirmative Action Employer. It is our policy to recruit, hire, promote, and train for all positions without regard to age, race, creed, religion, national origin, gender identity, marital status, sexual orientation, family responsibilities, pregnancy, minorities, genetic information, status as a person with a disability, amnesty or status as a protected veteran, and to base all such decisions upon the individual's qualifications and ability to perform the work assigned, consistent with contractual requirements and all federal, state and, local laws.

EEO is the Law: Applicants and employees are protected under Federal law from discrimination.

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