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Mathematical Modeling Jobs in Seattle, WA (NOW HIRING)

Blue Origin, LLC

GN&C Navigation Engineer III

Seattle, WA · On-site

$164K - $230K/yr

Experience with simulation, mathematical modeling, data analysis, and technical writing and presentation preferred. Your efforts will further the design of Blue Origin versatile spacecraft that will ...

Blue Origin

GN&C Navigation Engineer III

Seattle, WA · On-site

$164K - $230K/yr

Experience with simulation, mathematical modeling, data analysis, and technical writing and presentation preferred. Your efforts will further the design of Blue Origin versatile spacecraft that will ...

SEI

Data and Analytics Consultant

Seattle, WA · On-site

Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods * Experience and knowledge of programming and scripting languages such as, but ...

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All JobsMathematical Modeling JobsMathematical Modeling Jobs in Seattle, WA

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 7, 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.

More about Mathematical Modeling jobs
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:
Mathematical Modeling jobs near you
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.

Quantitative Analyst -- COMPASS Modeling

Think Tank, Inc.

Seattle, WA • On-site

Full-time

Posted 29 days ago

Job description

*Position is Subject to Contract Award POSITION DESCRIPTION:Description of Duties: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 statistical modeling, computer modeling, statistical/quantitative analysis, and other quantitative modeling techniques.Construct and implement models evaluating survival and migration through the hydropower system (COMPASS model) to address West Coast Regional Office requests 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.Write reports, contribute to journal manuscripts, and present results at regional and national meetings and conferences, as needed.Assist with field collection of fish and environmental data as needed (may involve riding in vehicles and/or boats). EDUCATION & EXPERIENCE:Required:Education: Bachelor's degree or higher from an accredited college/university with a major related to the task order and a strong quantitative background, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences.Experience: Three (3) or more years of experience related to the task order.Desired:Master's degree preferred.Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience CERTIFICATIONS: Required:Valid U.S. driver's license - required and maintained throughout the period of performance.Public trust suitability; background investigation cleared prior to beginning performance.Government-required training to be completed within 5 business days of start: NOAA IT Security, NOAA Safety, Sexual Assault/Sexual Harassment Prevention & Response (NAM 1330-52.222-70(b)(6)), and Records Management 101. RESPONSIBILITIES:Required (Deliverables):All analyses conducted with accepted methods and QA/QC.Assigned statistical and biological modeling components completed and integrated into COMPASS and life cycle models for the Columbia River basin, and others as needed.Reproducible analytical workflows documented; modeling scripts, methods, and results shared via open-science platforms (e.g., GitHub).Written status reports and other ad hoc communications; participation in field tasks as needed. SKILLS:Required:Extensive experience in modeling and data analysis; extensive experience executing statistical analysis and modeling in R, with strong R coding skills.Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context.Familiarity with common workplace software such as Google Suite and Microsoft Office.Excellent communication skills; experience writing reports and contributing to peer-reviewed articles; able to work independently and on interdisciplinary teams. Desired:Experience with Bayesian statistical methods and mark-recapture analysis preferred.Computational experience with command-line environments (e.g., Linux/shell scripting) preferred; experience with open-science concepts.Experience with Bayesian modeling programs Stan and JAGS preferred.