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Mathematical Modeling Jobs in Seattle, WA (NOW HIRING)

... mathematical modeling techniques. It also requires exposure to data science, and associated software and programming technologies. Additionally, this role requires exposure to advanced planning ...

Senior Software Engineer - Front - End

Bellevue, WA · On-site

$136K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply scientific analysis and mathematical modeling techniques to predict, measure, and evaluate the consequences of designs and the ongoing success of our platform. * Alongside a dedicated site ...

Senior Software Engineer - Front - End

Bellevue, WA · On-site +1

$136K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply scientific analysis and mathematical modeling techniques to predict, measure, and evaluate the consequences of designs and the ongoing success of our platform. * Alongside a dedicated site ...

Showing results 41-60

Mathematical Modeling information

See Seattle, WA salary details

$31.3K

$64.6K

$68.9K

How much do mathematical modeling jobs pay per year?

As of Aug 15, 2026, the average yearly pay for mathematical modeling in Seattle, WA is $64,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $67,700.00 per year, depending on experience, location, and employer.

What jobs use mathematical modeling?

Mathematical modeling is used in a variety of jobs such as data analyst, operations researcher, financial analyst, and systems engineer. These roles involve creating models to analyze data, optimize processes, or predict outcomes, often requiring skills in programming, statistics, and specialized software like MATLAB or R.

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.

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 MATLAB or Python are often required.

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 Seattle, WA?

The most popular types of Mathematical Modeling jobs in Seattle, WA are:

What are popular job titles related to Mathematical Modeling jobs in Seattle, WA?

For Mathematical Modeling jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Mathematical Modeling jobs in Seattle, WA look for?

The top searched job categories for Mathematical Modeling jobs in Seattle, WA are:

Infographic showing various Mathematical Modeling job openings in Seattle, WA as of July 2026, with employment types broken down into 71% Full Time, 10% Part Time, and 19% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $64,552 per year, or $31 per hour.

COMPASS Modeling Support Services

Ocean Associates

Seattle, WA • On-site

$30 - $45/hr

Full-time

Posted 23 days ago


Job description

Note: We are seeking applicants for this position prospectively, which is dependent on award of contract

If you are unable to complete this application due to a disability, contact Ocean Associates at 703-388-9548 to ask for an accommodation or an alternative application process.

Ocean Associates Inc. (OAI) is seeking an applicant to provide Comprehensive Passage (COMPASS) modeling support services to the National Oceanic and Atmospheric Administration (NOAA) Fisheries, Northwest Fisheries Science Center (NWFSC), Fish Ecology Division (FE) in Seattle, WA. OAI is a Virginia corporation established in 2003 that provides consulting and technical services to the U.S. government, non-governmental organizations, international organizations, and the private sector. We specialize in scientific program and project management, strategic planning, professional and technical services, and stakeholder engagement, supporting government contracts.


Background

The Fish Ecology Division at the Northwest Fisheries Science Center (NWFSC) conducts scientific research on marine and anadromous species in the Pacific Northwest and California to support management of these species as mandated by the authorizing mechanisms outlined above. Some stocks are managed under the MSA to produce abundant harvest opportunities for commercial and recreational fishermen and to meet tribal treaty obligations, while others are in decline and protected by the ESA. The NWFSC also researches ways to improve aquaculture and increase seafood safety. Holistic understanding of all factors controlling the abundance and health of fisheries and aquaculture often requires an ecosystem approach, working to understand how managed natural resources are affected by their prey, competitors, predators, habitats, and humans. This position will support NWFSC staff and interdisciplinary teams of scientists, natural resource managers, and tribal representatives to conduct ecological research on species that NOAA is mandated to manage.

The NWFSC is a leader in quantitative analyses supporting fisheries management for marine and anadromous species. It produces increasingly large datasets as quantitative research techniques become more complex. Researchers examine complex relationships between managed stocks and their environments that involve highly technical statistical approaches that continue to rapidly evolve. The Center collaborates with regional partners to manage data and provide public access to empirical and modeled data products. There is a strong need for continued improvement in both the ability to conduct advanced quantitative analyses and to adeptly manage and share resulting research products. Modern fisheries management faces a growing data-capacity gap: data volume is surging while managers have less time to interpret complex research.


Tasks

Key tasks include the following:

  • Develop and advance the Comprehensive Passage (COMPASS) model for application in river systems to evaluate effects of stressors and management actions across fish life cycles using a combination of statistical modeling, computer modeling, statistical analysis, quantitative ecological analysis, and other quantitative modeling techniques.
  • Construct and implement models evaluating survival and migration through the hydropower system (COMPASS model) to address requests by the West Coast Regional Office in support of ESA litigation and permitting.
  • Collaborate with regional managers and researchers to structure, synthesize, and manage environmental and biological data relevant to modeling needs.
  • Document and share reproducible research workflows and analytical products so that others can easily interact with them and understand what was done.
  • Write reports, contribute to journal manuscripts, and present results at regional and national meetings and scientific conferences, as needed.
  • Assist with field collection of fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region, as needed. This involves operating outdoors in sometimes harsh conditions in or around water. This may involve riding in vehicles and/or boats.


Start Date: Contingent upon award of contract.

Location: Northwest Fisheries Science Center, Seattle, WA, or at one of its associated field stations in WA or OR.

Travel: Travel is anticipated. A valid driver’s license must be maintained.

Salary and Benefits: This is a full-time position with benefits. Salary, commensurate with experience, between $30.00 - $45.00 per hour.

Requirements

Applicants must have the following minimum requirements:

  • Bachelor’s degree or higher (Master’s preferred), from an accredited college or university with a major in a field of study related to the requirements of the task order with a strong quantitative background with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences.
  • Three (3) or more years of experience related to the task order. An Advanced Degree in a related field may be substituted for two (MS) or four (PhD) years of experience.
  • Excellent communication skills and experience writing reports and contributing to peer-reviewed articles.
  • Strong quantitative skills including extensive experience in modeling and data analysis. Extensive experience executing statistical analysis and modeling in R, with an emphasis on strong skills coding in R. Experience with Bayesian statistical methods and mark-recapture analysis is preferred. Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context. Computational experience utilizing command-line environments (e.g., Linux/shell scripting) for processing data is preferred, as well as experience with open science concepts. Experience with Bayesian modeling programs Stan and JAGS is preferred. Familiarity with common software used in the workplace such as Google Suite and Microsoft Office.
  • Ability to manage workload, stay organized, and produce high-quality work products efficiently.
  • Ability to work both independently and on interdisciplinary teams.


If you are interested in being considered for this position, please APPLY THROUGH OUR ADP WEB PORTAL, AT THE LINK AT THE TOP RIGHT OF THIS PAGE.

Only qualified applicants that meet minimum experience or background requirements stated above need apply. When applying for this position you will be asked to upload your resume at the end of this online application.

Applicants should submit a resume that includes the following:

  • Cover letter that briefly describes how you meet the required and preferred qualifications listed.
  • Work history for past 10 years or since last full-time education.
  • Education.
  • Previous experience or training with similar requirements.
  • Three professional references.
  • Include your name in the document file name.
  • Upload your resume in readable, not scanned, PDF or Word format (PDF is preferred).


In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States, complete the required employment eligibility verification document form upon hire, and successfully complete a federal government background check. OAI does not discriminate on the basis of any status or condition protected by applicable federal or state law.

OAI is a government contractor and is required by law to invite applicants to voluntarily self-identify their disability status and veteran status. OAI's online application includes check boxes to either voluntarily self identify or decline to self identify. While the information is collected through your application, it is collected anonymously and is not connected to your application. OAI uses the information it collects to track its disability and veteran hiring progress, and to meet its obligations under Section 503 of the Rehabilitation Act and under VEVRAA.

Note: If you are not selected, your materials may be retained for present or future opportunities. We may use your resume in bidding on a project and if we are awarded the work, we will contact you before seeking further applicants. If you do not wish us to retain or use your resume to seek work for you, please let us know in the "Notes" section on the second page of the online application.