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Mathematical Modeling Jobs in Seattle, WA (NOW HIRING)

Amazon

Business Intel Engineer II - AMZ27162.1

Seattle, WA · On-site

$106K - $160K/yr

Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts. Research, design, and develop new forecasting technologies ...

Opendoor

Applied Scientist- Pricing

Seattle, WA · On-site

... mathematical modeling techniques to problems where structure matters and pure black-box prediction is not enough • Design experiments and measurement approaches to quantify price elasticity ...

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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 Jul 16, 2026, the average yearly pay for mathematical modeling in Seattle, WA is $64,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $67,800.00 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.

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 65% Full Time, 32% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $64,588 per year, or $31.1 per hour.
Business Intel Engineer II - AMZ27162.1

Business Intel Engineer II - AMZ27162.1

Amazon

Seattle, WA • On-site

$106K - $160K/yr

Full-time

Posted 2 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,972 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Employer: Amazon Data Services, Inc.
Position: Business Intel Engineer II - AMZ27162.1
Location: Seattle, WA
Multiple Positions Available:
Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts. Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, crosssession and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
(40 hours / week, 8:00am-5:00pm, Salary Range $106400 - $160000)
Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
BASIC QUALIFICATIONS
Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources; performing statistical analysis; and developing automated reporting.
The pay range for this position in Seattle, WA is $106400 - $160000 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
PREFERRED QUALIFICATIONS
All applicants must meet all the above listed requirements.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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