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Modeling Simulation Analyst Jobs in Everett, WA (NOW HIRING)

Serve as a Subject Matter Expert (SME) in modeling, simulation, and predictive analytics to support the Naval Surface Warfare Center, Carderock Division (NSWCCD). Responsibilities include but are not ...

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Modeling Simulation Analyst information

See Everett, WA salary details

$43.1K

$111.9K

$159.1K

How much do modeling simulation analyst jobs pay per year?

As of Aug 1, 2026, the average yearly pay for modeling simulation analyst in Everett, WA is $111,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,700.00 and $143,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Modeling Simulation Analyst, and why are they important?

To thrive as a Modeling Simulation Analyst, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree such as in engineering or applied mathematics. Proficiency in simulation software (e.g., MATLAB, Simulink, Arena), programming languages (such as Python or C++), and familiarity with data analysis tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top candidates apart in this role. These abilities are vital for developing accurate models, interpreting complex data, and clearly presenting findings to support strategic decision-making.

How does a Modeling Simulation Analyst typically collaborate with cross-functional teams during a project?

Modeling Simulation Analysts frequently work alongside engineers, data scientists, and project managers to develop and refine simulation models. Collaboration often involves gathering system requirements, validating model assumptions with subject matter experts, and presenting simulation results to stakeholders. Clear communication is essential, as analysts must translate complex simulation data into actionable insights for decision-makers. Regular team meetings and iterative feedback are common to ensure the models accurately reflect real-world scenarios and project goals.

What are Modeling Simulation Analysts?

Modeling Simulation Analysts are professionals who use mathematical models, simulations, and analytical techniques to study complex systems and predict their behavior. They help organizations make informed decisions by evaluating scenarios, testing hypotheses, and optimizing processes through virtual models. These analysts work in various industries, including defense, healthcare, manufacturing, and transportation, to improve efficiency, reduce costs, and support planning and strategy. Their work often involves collaboration with engineers, scientists, and decision-makers to interpret simulation results and implement solutions.

What is the difference between Modeling Simulation Analyst vs Data Analyst?

AspectModeling Simulation AnalystData Analyst
Required CredentialsBachelor's or master's in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering labs, simulation centers, or technical departmentsOffice settings, data centers, or business environments
Employer & Industry UsageManufacturing, aerospace, defense, or engineering firmsFinance, healthcare, marketing, or business sectors
Common Search & ComparisonYesYes

The Modeling Simulation Analyst focuses on creating and analyzing simulations to predict system behaviors, often requiring engineering or technical expertise. In contrast, Data Analysts interpret data sets to inform business decisions, typically using statistical tools. While both roles involve data handling, the Modeling Simulation Analyst emphasizes modeling complex systems, whereas Data Analysts focus on data interpretation for strategic insights.

What job categories do people searching Modeling Simulation Analyst jobs in Everett, WA look for? The top searched job categories for Modeling Simulation Analyst jobs in Everett, WA are:
What cities near Everett, WA are hiring for Modeling Simulation Analyst jobs? Cities near Everett, WA with the most Modeling Simulation Analyst job openings:
Infographic showing various Modeling Simulation Analyst job openings in Everett, WA as of July 2026, with employment types broken down into 63% Full Time, 13% Part Time, and 24% Contract. Highlights an 60% Physical, 6% Hybrid, and 34% Remote job distribution, with an average salary of $111,854 per year, or $53.8 per hour.

Modeling & Simulation Eng, Amazon Leo

Amazon

Redmond, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,043 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.
This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and the work you deliver, and you'll be looking for ways to improve your models' accuracy, computational efficiency, and operational impact.
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
This is a modeling and simulation engineering position where you will develop, validate, and maintain physics-based and empirical models of the Leo satellite power system. You will build simulation frameworks that predict battery state of charge, solar array power generation, thermal-electrical coupling, and power system degradation over the satellite lifecycle. Your models will be used to inform architecture trade studies, hardware/software design decisions, validate on-orbit performance, and feed operational planning tools that manage constellation-wide energy resources.
You will own the development of orbit-level power simulations that ingest mission plans, orbital parameters, and hardware configuration to predict future power system behavior. You will correlate model predictions against on-orbit telemetry, identify model gaps, and iterate to improve fidelity. You will develop degradation models (battery capacity fade, solar array efficiency loss) using a combination of lab test data, manufacturer characterization, and flight data.
Everyone on the team needs to be entrepreneurial, wear many hats, and work in a highly collaborative environment. We will need to tackle problems that span a variety of domains.
A day in the life
You will work closely with power systems engineers, mission operations, and software teams to integrate your models into operational services such as the Power Digital Twin and hardware-in-the-loop testbeds. You will also support design teams by running parametric studies and sensitivity analyses for next-generation satellite configurations.
BASIC QUALIFICATIONS
- Bachelor's degree in a STEM discipline
- 3+ years of experience developing physics-based or data-driven models for electrical, power, thermal, or electromechanical systems
- 3+ years of proficiency in Python or Matlab for numerical simulation, data analysis, and model development
- Experience with model validation against experimental or operational data
PREFERRED QUALIFICATIONS
- Experience modeling battery systems (equivalent circuit models, degradation/aging models, state estimation)
- Experience modeling solar array or photovoltaic system performance (I-V characteristics, temperature dependence, degradation)
- Familiarity with orbital mechanics and how orbital parameters affect spacecraft power budgets (eclipse fraction, beta angle, solar flux)
- Experience building simulation pipelines that run at scale (batch processing, parameterized sweeps, Monte Carlo analysis)
- Familiarity with cloud-based data infrastructure (AWS, time-series databases, data pipelines)
- Experience correlating models with on-orbit or field telemetry data
- Strong written and verbal communication skills with ability to document model assumptions, limitations, and validation results
- Experience with version control (Git) and reproducible computational workflows (Jupyter, containerized environments)
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Redmond - 129,200.00 - 174,800.00 USD annually

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About Amazon

Sourced by ZipRecruiter

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