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Modelling Simulation Jobs in Washington, DC (NOW HIRING)

Use SAS and/or R for purposes like QC of datasets and deliverables, inferential statistical analyses, modelling/simulation, exploratory analyses etc. * Contribute to and participate in other ...

Use SAS and/or R for purposes like QC of datasets and deliverables, inferential statistical analyses, modelling/simulation, exploratory analyses etc. * Contribute to and participate in other ...

... adhere to modelling best practices. Position Requirements * Experience with development of logistic regression and forecasting Monte-Carlo simulation models. * Knowledge of credit analysis, and ...

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Showing results 1-20

Modelling Simulation information

See Washington, DC salary details

$12.5K

$76.6K

$137.6K

How much do modelling simulation jobs pay per year?

As of Sep 3, 2026, the average yearly pay for modelling simulation in Washington, DC is $76,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $90,000.00 per year, depending on experience, location, and employer.

What is the difference between Modelling Simulation vs Data Analyst?

AspectModelling SimulationData Analyst
Required CredentialsBachelor's or higher in Engineering, Mathematics, or related fields; often certifications in simulation softwareBachelor's or higher in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentEngineering labs, research centers, or software development teamsBusiness offices, data centers, or consulting firms
Industry UsageManufacturing, aerospace, automotive, and engineering sectorsFinance, marketing, healthcare, and technology sectors
Common Search/ComparisonYesYes

Modelling Simulation and Data Analyst roles share overlapping skills in data handling and analytical thinking. However, Modelling Simulation focuses on creating and testing models to predict system behavior, often in engineering contexts. Data Analysts interpret data to inform business decisions. Both roles require strong technical skills, but their applications and industries differ significantly.

How to become a modeling and simulation engineer?

To become a modeling and simulation engineer, typically a bachelor's degree in engineering, computer science, or a related field is required, with advanced roles often requiring a master's or Ph.D. in a specialized area. Skills in programming languages such as C++, Python, or MATLAB, along with knowledge of simulation tools and systems modeling, are essential. Gaining experience through internships, certifications, or project work can also improve job prospects in this field.

Is modeling simulation a high paying job?

Modeling and simulation jobs are generally considered well-paying, especially for roles requiring advanced technical skills, programming, and knowledge of specialized software. Salaries vary based on experience, industry, and location, but professionals in this field often earn above average wages compared to other engineering or technical roles.

What are popular job titles related to Modelling Simulation jobs in Washington, DC?

For Modelling Simulation jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Modelling Simulation jobs in Washington, DC look for?

The top searched job categories for Modelling Simulation jobs in Washington, DC are:

Infographic showing various Modelling Simulation job openings in Washington, DC as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $76,565 per year, or $36.8 per hour.

Engagement Manager (Homeland Layered Defense), Public Sector

AI Chopping Block

Washington, DC • On-site

$166 - $249/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Scale's public sector business is providing the best of American commercial technology and innovation to protect the homeland and meet the moment. As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States. You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems. All of this serves an ultimate goal of delivering cutting‑edge agentic AI to orchestrate portfolio management for defence of the homeland.

You will:
  • Own customer relationships across the account, from senior government leaders and program offices to analysts and operational users
  • Build structured user‑engagement programs that reach the operators and analysts using Scale’s products day‑to‑day
  • Work alongside customers to translate operational workflows and mission problems into well‑defined AI and agentic workflow use cases
  • Lead cross‑functional teams across engineering, product, operations, security, and government stakeholders to deliver on customer objectives
  • Plan and execute customer engagement weeks, user testing events, demonstrations, briefings, and other onsite activities
  • Drive adoption of Scale capabilities in operational environments, incorporating user feedback into product requirements and delivery priorities
Must haves:
  • Active TS/SCI clearance
  • 5+ years of experience in technical program management, software engineering, systems engineering, product management, technical consulting, or a related technical delivery role
  • Demonstrated ability to build trust with both senior executives and hands‑on operational users
  • Experience translating complex customer workflows into structured technical or product requirements
  • Strong technical fluency and the ability to hold credible conversations with engineering and product teams about AI, software systems, data, and agentic workflows
  • Excellent written and verbal communication skills, including the ability to communicate effectively with senior government leaders
  • Comfort working extensively inside secure facilities and air‑gapped government systems
  • Willingness to travel 25–50% for onsite engagements, testing events, briefings, and customer meetings
We have a diverse team with a variety of skill sets, many have:
  • Prior military or civilian experience inside a Combatant Command, Numbered Air Force, Air Operations Center, Joint Intelligence Operations Center, or Intelligence Community agency
  • Experience deploying software into a live operational center or watch floor
  • Experience writing Product Requirements Documents and translating operator workflows into software requirements
  • Familiarity with Joint Planning, intelligence, targeting, integrated air and missile defense, modeling and simulation, or related mission areas
  • Experience supporting formal government test and evaluation events
Candidates may align to one or more of the following mission areas depending on background, customer need, and program assignment:
  1. Indications & Warning (I&W) — Defence intelligence cycles, warning frameworks, JIOC / watch‑floor operations, and multi‑INT analysis
  2. Dynamic Planning — Combatant Command decision‑making, Joint Planning Process, homeland defence, and battle‑staff operations
  3. Non‑Kinetic Effects Integration — Electromagnetic warfare, cyber, space, EMSO, and integration of non‑kinetic effects into joint targeting
  4. Modelling & Simulation — Constructive simulation, force‑on‑force analysis, synthetic data, and AI behavior representation
  5. Sensor Orchestration — Sensor tasking, collection management, multi‑INT strategies, and sensor‑to‑shooter workflows
  6. Dynamic Agentic IAMD Planning — Integrated Air and Missile Defence, weapon‑target pairing, threat profiles, ROE, and agentic defensive planning
  7. Adversary Test Data Integration — High‑side intelligence data sources, government repositories, security approvals, and data integration
  8. Agentic RoL Track Trajectory Prediction — Multi‑sensor track fusion, state estimation, trajectory prediction, and agentic analysis of real‑time track data
  9. Object Custody — F2T2EA targeting, target custody, sensor coverage, and partner/subcontractor integration
  10. Cross‑Domain Solutions (CDS) — Cross‑domain data transfer, accreditation, Raise‑the‑Bar standards, and movement of AI/ML capabilities across security boundaries

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job‑related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval.

You’ll also receive benefits including, but not limited to:

  • comprehensive health
  • dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • additional benefits such as a commuter stipend

The base salary range for this full‑time position in the location of Washington DC is: $166,400 — $249,000 USD

PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. Our products provide the high‑quality data and full‑stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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